Big cats as a model system for the study of the evolution of intelligence.
Borrego, Natalia
2017-08-01
Currently, carnivores, and felids in particular, are vastly underrepresented in cognitive literature, despite being an ideal model system for tests of social and ecological intelligence hypotheses. Within Felidae, big cats (Panthera) are uniquely suited to studies investigating the evolutionary links between social, ecological, and cognitive complexity. Intelligence likely did not evolve in a unitary way but instead evolved as the result of mutually reinforcing feedback loops within the physical and social environments. The domain-specific social intelligence hypothesis proposes that social complexity drives only the evolution of cognitive abilities adapted only to social domains. The domain-general hypothesis proposes that the unique demands of social life serve as a bootstrap for the evolution of superior general cognition. Big cats are one of the few systems in which we can directly address conflicting predictions of the domain-general and domain-specific hypothesis by comparing cognition among closely related species that face roughly equivalent ecological complexity but vary considerably in social complexity. Copyright © 2017 Elsevier B.V. All rights reserved.
Brains, brawn and sociality: a hyaena’s tale
Holekamp, Kay E.; Dantzer, Ben; Stricker, Gregory; Shaw Yoshida, Kathryn C.; Benson-Amram, Sarah
2015-01-01
Theoretically intelligence should evolve to help animals solve specific types of problems posed by the environment, but it remains unclear how environmental complexity or novelty facilitates the evolutionary enhancement of cognitive abilities, or whether domain-general intelligence can evolve in response to domain-specific selection pressures. The social complexity hypothesis, which posits that intelligence evolved to cope with the labile behaviour of conspecific group-mates, has been strongly supported by work on the sociocognitive abilities of primates and other animals. Here we review the remarkable convergence in social complexity between cercopithecine primates and spotted hyaenas, and describe our tests of predictions of the social complexity hypothesis in regard to both cognition and brain size in hyaenas. Behavioural data indicate that there has been remarkable convergence between primates and hyaenas with respect to their abilities in the domain of social cognition. Furthermore, within the family Hyaenidae, our data suggest that social complexity might have contributed to enlargement of the frontal cortex. However, social complexity failed to predict either brain volume or frontal cortex volume in a larger array of mammalian carnivores. To address the question of whether or not social complexity might be able to explain the evolution of domain-general intelligence as well as social cognition in particular, we presented simple puzzle boxes, baited with food and scaled to accommodate body size, to members of 39 carnivore species housed in zoos and found that species with larger brains relative to their body mass were more innovative and more successful at opening the boxes. However, social complexity failed to predict success in solving this problem. Overall our work suggests that, although social complexity enhances social cognition, there are no unambiguous causal links between social complexity and either brain size or performance in problem-solving tasks outside the social domain in mammalian carnivores. PMID:26160980
Emotional Intelligence in Agenesis of the Corpus Callosum.
Anderson, Luke B; Paul, Lynn K; Brown, Warren S
2017-05-01
People with agenesis of the corpus callosum (AgCC) with normal general intelligence have deficits in complex cognitive processing, as well as in social cognition. It is uncertain the extent to which impoverished processing of emotions may contribute to social processing deficiencies. We used the Mayer-Salovey-Caruso Emotional Intelligence Test to clarify the nature of emotional intelligence in 16 adults with AgCC. As hypothesized, persons with AgCC exhibited greater disparities from norms on tests involving more socially complex aspects of emotions. The AgCC group did not differ from norms on the Experiential subscale, but they were significantly below norms on the Strategic subscale. These findings suggest that the corpus callosum is not essential for experiencing and thinking about basic emotions in a "normal" way, but is necessary for more complex processes involving emotions in the context of social interactions. © The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Vocal repertoire of the social giant otter.
Leuchtenberger, Caroline; Sousa-Lima, Renata; Duplaix, Nicole; Magnusson, William E; Mourão, Guilherme
2014-11-01
According to the "social intelligence hypothesis," species with complex social interactions have more sophisticated communication systems. Giant otters (Pteronura brasiliensis) live in groups with complex social interactions. It is likely that the vocal communication of giant otters is more sophisticated than previous studies suggest. The objectives of the current study were to describe the airborne vocal repertoire of giant otters in the Pantanal area of Brazil, to analyze call types within different behavioral contexts, and to correlate vocal complexity with level of sociability of mustelids to verify whether or not the result supports the social intelligence hypothesis. The behavior of nine giant otters groups was observed. Vocalizations recorded were acoustically and statistically analyzed to describe the species' repertoire. The repertoire was comprised by 15 sound types emitted in different behavioral contexts. The main behavioral contexts of each sound type were significantly associated with the acoustic variable ordination of different sound types. A strong correlation between vocal complexity and sociability was found for different species, suggesting that the communication systems observed in the family mustelidae support the social intelligence hypothesis.
The evolution of intelligence in mammalian carnivores.
Holekamp, Kay E; Benson-Amram, Sarah
2017-06-06
Although intelligence should theoretically evolve to help animals solve specific types of problems posed by the environment, it is unclear which environmental challenges favour enhanced cognition, or how general intelligence evolves along with domain-specific cognitive abilities. The social intelligence hypothesis posits that big brains and great intelligence have evolved to cope with the labile behaviour of group mates. We have exploited the remarkable convergence in social complexity between cercopithecine primates and spotted hyaenas to test predictions of the social intelligence hypothesis in regard to both cognition and brain size. Behavioural data indicate that there has been considerable convergence between primates and hyaenas with respect to their social cognitive abilities. Moreover, compared with other hyaena species, spotted hyaenas have larger brains and expanded frontal cortex, as predicted by the social intelligence hypothesis. However, broader comparative study suggests that domain-general intelligence in carnivores probably did not evolve in response to selection pressures imposed specifically in the social domain. The cognitive buffer hypothesis, which suggests that general intelligence evolves to help animals cope with novel or changing environments, appears to offer a more robust explanation for general intelligence in carnivores than any hypothesis invoking selection pressures imposed strictly by sociality or foraging demands.
The evolution of intelligence in mammalian carnivores
Benson-Amram, Sarah
2017-01-01
Although intelligence should theoretically evolve to help animals solve specific types of problems posed by the environment, it is unclear which environmental challenges favour enhanced cognition, or how general intelligence evolves along with domain-specific cognitive abilities. The social intelligence hypothesis posits that big brains and great intelligence have evolved to cope with the labile behaviour of group mates. We have exploited the remarkable convergence in social complexity between cercopithecine primates and spotted hyaenas to test predictions of the social intelligence hypothesis in regard to both cognition and brain size. Behavioural data indicate that there has been considerable convergence between primates and hyaenas with respect to their social cognitive abilities. Moreover, compared with other hyaena species, spotted hyaenas have larger brains and expanded frontal cortex, as predicted by the social intelligence hypothesis. However, broader comparative study suggests that domain-general intelligence in carnivores probably did not evolve in response to selection pressures imposed specifically in the social domain. The cognitive buffer hypothesis, which suggests that general intelligence evolves to help animals cope with novel or changing environments, appears to offer a more robust explanation for general intelligence in carnivores than any hypothesis invoking selection pressures imposed strictly by sociality or foraging demands. PMID:28479979
Questioning the social intelligence hypothesis.
Holekamp, Kay E
2007-02-01
The social intelligence hypothesis posits that complex cognition and enlarged "executive brains" evolved in response to challenges that are associated with social complexity. This hypothesis has been well supported, but some recent data are inconsistent with its predictions. It is becoming increasingly clear that multiple selective agents, and non-selective constraints, must have acted to shape cognitive abilities in humans and other animals. The task now is to develop a larger theoretical framework that takes into account both inter-specific differences and similarities in cognition. This new framework should facilitate consideration of how selection pressures that are associated with sociality interact with those that are imposed by non-social forms of environmental complexity, and how both types of functional demands interact with phylogenetic and developmental constraints.
Coordinating complex problem-solving among distributed intelligent agents
NASA Technical Reports Server (NTRS)
Adler, Richard M.
1992-01-01
A process-oriented control model is described for distributed problem solving. The model coordinates the transfer and manipulation of information across independent networked applications, both intelligent and conventional. The model was implemented using SOCIAL, a set of object-oriented tools for distributing computing. Complex sequences of distributed tasks are specified in terms of high level scripts. Scripts are executed by SOCIAL objects called Manager Agents, which realize an intelligent coordination model that routes individual tasks to suitable server applications across the network. These tools are illustrated in a prototype distributed system for decision support of ground operations for NASA's Space Shuttle fleet.
Japanese vs. Caucasian Intelligence and Social Attainment.
ERIC Educational Resources Information Center
Nagoshi, Craig T.
1998-01-01
Summarizes a series of studies from the Hawaii Family Study of Cognition on possible genetic and social environmental determinants of individual differences in and racial/ethnic differences between groups on intelligence and attainment. These studies, which focused on Japanese and Caucasian Americans, illustrate the complex, interactive, and…
Information theory, animal communication, and the search for extraterrestrial intelligence
NASA Astrophysics Data System (ADS)
Doyle, Laurance R.; McCowan, Brenda; Johnston, Simon; Hanser, Sean F.
2011-02-01
We present ongoing research in the application of information theory to animal communication systems with the goal of developing additional detectors and estimators for possible extraterrestrial intelligent signals. Regardless of the species, for intelligence (i.e., complex knowledge) to be transmitted certain rules of information theory must still be obeyed. We demonstrate some preliminary results of applying information theory to socially complex marine mammal species (bottlenose dolphins and humpback whales) as well as arboreal squirrel monkeys, because they almost exclusively rely on vocal signals for their communications, producing signals which can be readily characterized by signal analysis. Metrics such as Zipf's Law and higher-order information-entropic structure are emerging as indicators of the communicative complexity characteristic of an "intelligent message" content within these animals' signals, perhaps not surprising given these species' social complexity. In addition to human languages, for comparison we also apply these metrics to pulsar signals—perhaps (arguably) the most "organized" of stellar systems—as an example of astrophysical systems that would have to be distinguished from an extraterrestrial intelligence message by such information theoretic filters. We also look at a message transmitted from Earth (Arecibo Observatory) that contains a lot of meaning but little information in the mathematical sense we define it here. We conclude that the study of non-human communication systems on our own planet can make a valuable contribution to the detection of extraterrestrial intelligence by providing quantitative general measures of communicative complexity. Studying the complex communication systems of other intelligent species on our own planet may also be one of the best ways to deprovincialize our thinking about extraterrestrial communication systems in general.
Convergent evolution of complex brains and high intelligence
Roth, Gerhard
2015-01-01
Within the animal kingdom, complex brains and high intelligence have evolved several to many times independently, e.g. among ecdysozoans in some groups of insects (e.g. blattoid, dipteran, hymenopteran taxa), among lophotrochozoans in octopodid molluscs, among vertebrates in teleosts (e.g. cichlids), corvid and psittacid birds, and cetaceans, elephants and primates. High levels of intelligence are invariantly bound to multimodal centres such as the mushroom bodies in insects, the vertical lobe in octopodids, the pallium in birds and the cerebral cortex in primates, all of which contain highly ordered associative neuronal networks. The driving forces for high intelligence may vary among the mentioned taxa, e.g. needs for spatial learning and foraging strategies in insects and cephalopods, for social learning in cichlids, instrumental learning and spatial orientation in birds and social as well as instrumental learning in primates. PMID:26554042
Artificial intelligence (AI) systems for interpreting complex medical datasets.
Altman, R B
2017-05-01
Advances in machine intelligence have created powerful capabilities in algorithms that find hidden patterns in data, classify objects based on their measured characteristics, and associate similar patients/diseases/drugs based on common features. However, artificial intelligence (AI) applications in medical data have several technical challenges: complex and heterogeneous datasets, noisy medical datasets, and explaining their output to users. There are also social challenges related to intellectual property, data provenance, regulatory issues, economics, and liability. © 2017 ASCPT.
Virtual Reality for Artificial Intelligence: human-centered simulation for social science.
Cipresso, Pietro; Riva, Giuseppe
2015-01-01
There is a long last tradition in Artificial Intelligence as use of Robots endowing human peculiarities, from a cognitive and emotional point of view, and not only in shape. Today Artificial Intelligence is more oriented to several form of collective intelligence, also building robot simulators (hardware or software) to deeply understand collective behaviors in human beings and society as a whole. Modeling has also been crucial in the social sciences, to understand how complex systems can arise from simple rules. However, while engineers' simulations can be performed in the physical world using robots, for social scientist this is impossible. For decades, researchers tried to improve simulations by endowing artificial agents with simple and complex rules that emulated human behavior also by using artificial intelligence (AI). To include human beings and their real intelligence within artificial societies is now the big challenge. We present an hybrid (human-artificial) platform where experiments can be performed by simulated artificial worlds in the following manner: 1) agents' behaviors are regulated by the behaviors shown in Virtual Reality involving real human beings exposed to specific situations to simulate, and 2) technology transfers these rules into the artificial world. These form a closed-loop of real behaviors inserted into artificial agents, which can be used to study real society.
Lesion mapping of social problem solving
Colom, Roberto; Paul, Erick J.; Chau, Aileen; Solomon, Jeffrey; Grafman, Jordan H.
2014-01-01
Accumulating neuroscience evidence indicates that human intelligence is supported by a distributed network of frontal and parietal regions that enable complex, goal-directed behaviour. However, the contributions of this network to social aspects of intellectual function remain to be well characterized. Here, we report a human lesion study (n = 144) that investigates the neural bases of social problem solving (measured by the Everyday Problem Solving Inventory) and examine the degree to which individual differences in performance are predicted by a broad spectrum of psychological variables, including psychometric intelligence (measured by the Wechsler Adult Intelligence Scale), emotional intelligence (measured by the Mayer, Salovey, Caruso Emotional Intelligence Test), and personality traits (measured by the Neuroticism-Extraversion-Openness Personality Inventory). Scores for each variable were obtained, followed by voxel-based lesion–symptom mapping. Stepwise regression analyses revealed that working memory, processing speed, and emotional intelligence predict individual differences in everyday problem solving. A targeted analysis of specific everyday problem solving domains (involving friends, home management, consumerism, work, information management, and family) revealed psychological variables that selectively contribute to each. Lesion mapping results indicated that social problem solving, psychometric intelligence, and emotional intelligence are supported by a shared network of frontal, temporal, and parietal regions, including white matter association tracts that bind these areas into a coordinated system. The results support an integrative framework for understanding social intelligence and make specific recommendations for the application of the Everyday Problem Solving Inventory to the study of social problem solving in health and disease. PMID:25070511
Synthetic collective intelligence.
Solé, Ricard; Amor, Daniel R; Duran-Nebreda, Salva; Conde-Pueyo, Núria; Carbonell-Ballestero, Max; Montañez, Raúl
2016-10-01
Intelligent systems have emerged in our biosphere in different contexts and achieving different levels of complexity. The requirement of communication in a social context has been in all cases a determinant. The human brain, probably co-evolving with language, is an exceedingly successful example. Similarly, social insects complex collective decisions emerge from information exchanges between many agents. The difference is that such processing is obtained out of a limited individual cognitive power. Computational models and embodied versions using non-living systems, particularly involving robot swarms, have been used to explore the potentiality of collective intelligence. Here we suggest a novel approach to the problem grounded in the genetic engineering of unicellular systems, which can be modified in order to interact, store memories or adapt to external stimuli in collective ways. What we label as Synthetic Swarm Intelligence defines a parallel approach to the evolution of computation and swarm intelligence and allows to explore potential embodied scenarios for decision making at the microscale. Here, we consider several relevant examples of collective intelligence and their synthetic organism counterparts. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
A development framework for artificial intelligence based distributed operations support systems
NASA Technical Reports Server (NTRS)
Adler, Richard M.; Cottman, Bruce H.
1990-01-01
Advanced automation is required to reduce costly human operations support requirements for complex space-based and ground control systems. Existing knowledge based technologies have been used successfully to automate individual operations tasks. Considerably less progress has been made in integrating and coordinating multiple operations applications for unified intelligent support systems. To fill this gap, SOCIAL, a tool set for developing Distributed Artificial Intelligence (DAI) systems is being constructed. SOCIAL consists of three primary language based components defining: models of interprocess communication across heterogeneous platforms; models for interprocess coordination, concurrency control, and fault management; and for accessing heterogeneous information resources. DAI applications subsystems, either new or existing, will access these distributed services non-intrusively, via high-level message-based protocols. SOCIAL will reduce the complexity of distributed communications, control, and integration, enabling developers to concentrate on the design and functionality of the target DAI system itself.
Convergent evolution of complex brains and high intelligence.
Roth, Gerhard
2015-12-19
Within the animal kingdom, complex brains and high intelligence have evolved several to many times independently, e.g. among ecdysozoans in some groups of insects (e.g. blattoid, dipteran, hymenopteran taxa), among lophotrochozoans in octopodid molluscs, among vertebrates in teleosts (e.g. cichlids), corvid and psittacid birds, and cetaceans, elephants and primates. High levels of intelligence are invariantly bound to multimodal centres such as the mushroom bodies in insects, the vertical lobe in octopodids, the pallium in birds and the cerebral cortex in primates, all of which contain highly ordered associative neuronal networks. The driving forces for high intelligence may vary among the mentioned taxa, e.g. needs for spatial learning and foraging strategies in insects and cephalopods, for social learning in cichlids, instrumental learning and spatial orientation in birds and social as well as instrumental learning in primates. © 2015 The Author(s).
Etoile Project : Social Intelligent ICT-System for very large scale education in complex systems
NASA Astrophysics Data System (ADS)
Bourgine, P.; Johnson, J.
2009-04-01
The project will devise new theory and implement new ICT-based methods of delivering high-quality low-cost postgraduate education to many thousands of people in a scalable way, with the cost of each extra student being negligible (< a few Euros). The research will create an in vivo laboratory of one to ten thousand postgraduate students studying courses in complex systems. This community is chosen because it is large and interdisciplinary and there is a known requirement for courses for thousand of students across Europe. The project involves every aspect of course production and delivery. Within this the research focused on the creation of a Socially Intelligent Resource Mining system to gather large volumes of high quality educational resources from the internet; new methods to deconstruct these to produce a semantically tagged Learning Object Database; a Living Course Ecology to support the creation and maintenance of evolving course materials; systems to deliver courses; and a ‘socially intelligent assessment system'. The system will be tested on one to ten thousand postgraduate students in Europe working towards the Complex System Society's title of European PhD in Complex Systems. Étoile will have a very high impact both scientifically and socially by (i) the provision of new scalable ICT-based methods for providing very low cost scientific education, (ii) the creation of new mathematical and statistical theory for the multiscale dynamics of complex systems, (iii) the provision of a working example of adaptation and emergence in complex socio-technical systems, and (iv) making a major educational contribution to European complex systems science and its applications.
Lesion mapping of social problem solving.
Barbey, Aron K; Colom, Roberto; Paul, Erick J; Chau, Aileen; Solomon, Jeffrey; Grafman, Jordan H
2014-10-01
Accumulating neuroscience evidence indicates that human intelligence is supported by a distributed network of frontal and parietal regions that enable complex, goal-directed behaviour. However, the contributions of this network to social aspects of intellectual function remain to be well characterized. Here, we report a human lesion study (n = 144) that investigates the neural bases of social problem solving (measured by the Everyday Problem Solving Inventory) and examine the degree to which individual differences in performance are predicted by a broad spectrum of psychological variables, including psychometric intelligence (measured by the Wechsler Adult Intelligence Scale), emotional intelligence (measured by the Mayer, Salovey, Caruso Emotional Intelligence Test), and personality traits (measured by the Neuroticism-Extraversion-Openness Personality Inventory). Scores for each variable were obtained, followed by voxel-based lesion-symptom mapping. Stepwise regression analyses revealed that working memory, processing speed, and emotional intelligence predict individual differences in everyday problem solving. A targeted analysis of specific everyday problem solving domains (involving friends, home management, consumerism, work, information management, and family) revealed psychological variables that selectively contribute to each. Lesion mapping results indicated that social problem solving, psychometric intelligence, and emotional intelligence are supported by a shared network of frontal, temporal, and parietal regions, including white matter association tracts that bind these areas into a coordinated system. The results support an integrative framework for understanding social intelligence and make specific recommendations for the application of the Everyday Problem Solving Inventory to the study of social problem solving in health and disease. © The Author (2014). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Swarm Intelligence Optimization and Its Applications
NASA Astrophysics Data System (ADS)
Ding, Caichang; Lu, Lu; Liu, Yuanchao; Peng, Wenxiu
Swarm Intelligence is a computational and behavioral metaphor for solving distributed problems inspired from biological examples provided by social insects such as ants, termites, bees, and wasps and by swarm, herd, flock, and shoal phenomena in vertebrates such as fish shoals and bird flocks. An example of successful research direction in Swarm Intelligence is ant colony optimization (ACO), which focuses on combinatorial optimization problems. Ant algorithms can be viewed as multi-agent systems (ant colony), where agents (individual ants) solve required tasks through cooperation in the same way that ants create complex social behavior from the combined efforts of individuals.
Cognitive ornithology: the evolution of avian intelligence
Emery, Nathan J
2005-01-01
Comparative psychologists interested in the evolution of intelligence have focused their attention on social primates, whereas birds tend to be used as models of associative learning. However, corvids and parrots, which have forebrains relatively the same size as apes, live in complex social groups and have a long developmental period before becoming independent, have demonstrated ape-like intelligence. Although, ornithologists have documented thousands of hours observing birds in their natural habitat, they have focused their attention on avian behaviour and ecology, rather than intelligence. This review discusses recent studies of avian cognition contrasting two different approaches; the anthropocentric approach and the adaptive specialization approach. It is argued that the most productive method is to combine the two approaches. This is discussed with respects to recent investigations of two supposedly unique aspects of human cognition; episodic memory and theory of mind. In reviewing the evidence for avian intelligence, corvids and parrots appear to be cognitively superior to other birds and in many cases even apes. This suggests that complex cognition has evolved in species with very different brains through a process of convergent evolution rather than shared ancestry, although the notion that birds and mammals may share common neural connectivity patterns is discussed. PMID:16553307
Intelligence, personality, and interests: evidence for overlapping traits.
Ackerman, P L; Heggestad, E D
1997-03-01
The authors review the development of the modern paradigm for intelligence assessment and application and consider the differentiation between intelligence-as-maximal performance and intelligence-as-typical performance. They review theories of intelligence, personality, and interest as a means to establish potential overlap. Consideration of intelligence-as-typical performance provides a basis for evaluation of intelligence-personality and intelligence-interest relations. Evaluation of relations among personality constructs, vocational interests, and intellectual abilities provides evidence for communality across the domains of personality of J. L. Holland's (1959) model of vocational interests. The authors provide an extensive meta-analysis of personality-intellectual ability correlations, and a review of interest-intellectual ability associations. They identify 4 trait complexes: social, clerical/conventional, science/math, and intellectual/cultural.
Thinking chickens: a review of cognition, emotion, and behavior in the domestic chicken.
Marino, Lori
2017-03-01
Domestic chickens are members of an order, Aves, which has been the focus of a revolution in our understanding of neuroanatomical, cognitive, and social complexity. At least some birds are now known to be on par with many mammals in terms of their level of intelligence, emotional sophistication, and social interaction. Yet, views of chickens have largely remained unrevised by this new evidence. In this paper, I examine the peer-reviewed scientific data on the leading edge of cognition, emotions, personality, and sociality in chickens, exploring such areas as self-awareness, cognitive bias, social learning and self-control, and comparing their abilities in these areas with other birds and other vertebrates, particularly mammals. My overall conclusion is that chickens are just as cognitively, emotionally and socially complex as most other birds and mammals in many areas, and that there is a need for further noninvasive comparative behavioral research with chickens as well as a re-framing of current views about their intelligence.
The big data processing platform for intelligent agriculture
NASA Astrophysics Data System (ADS)
Huang, Jintao; Zhang, Lichen
2017-08-01
Big data technology is another popular technology after the Internet of Things and cloud computing. Big data is widely used in many fields such as social platform, e-commerce, and financial analysis and so on. Intelligent agriculture in the course of the operation will produce large amounts of data of complex structure, fully mining the value of these data for the development of agriculture will be very meaningful. This paper proposes an intelligent data processing platform based on Storm and Cassandra to realize the storage and management of big data of intelligent agriculture.
Emergent sensing of complex environments by mobile animal groups.
Berdahl, Andrew; Torney, Colin J; Ioannou, Christos C; Faria, Jolyon J; Couzin, Iain D
2013-02-01
The capacity for groups to exhibit collective intelligence is an often-cited advantage of group living. Previous studies have shown that social organisms frequently benefit from pooling imperfect individual estimates. However, in principle, collective intelligence may also emerge from interactions between individuals, rather than from the enhancement of personal estimates. Here, we reveal that this emergent problem solving is the predominant mechanism by which a mobile animal group responds to complex environmental gradients. Robust collective sensing arises at the group level from individuals modulating their speed in response to local, scalar, measurements of light and through social interaction with others. This distributed sensing requires only rudimentary cognition and thus could be widespread across biological taxa, in addition to being appropriate and cost-effective for robotic agents.
Rostami, Amir; Mondani, Hernan
2015-01-01
The field of social network analysis has received increasing attention during the past decades and has been used to tackle a variety of research questions, from prevention of sexually transmitted diseases to humanitarian relief operations. In particular, social network analyses are becoming an important component in studies of criminal networks and in criminal intelligence analysis. At the same time, intelligence analyses and assessments have become a vital component of modern approaches in policing, with policy implications for crime prevention, especially in the fight against organized crime. In this study, we have a unique opportunity to examine one specific Swedish street gang with three different datasets. These datasets are the most common information sources in studies of criminal networks: intelligence, surveillance and co-offending data. We use the data sources to build networks, and compare them by computing distance, centrality, and clustering measures. This study shows the complexity factor by which different data sources about the same object of study have a fundamental impact on the results. The same individuals have different importance ranking depending on the dataset and measure. Consequently, the data source plays a vital role in grasping the complexity of the phenomenon under study. Researchers, policy makers, and practitioners should therefore pay greater attention to the biases affecting the sources of the analysis, and be cautious when drawing conclusions based on intelligence assessments and limited network data. This study contributes to strengthening social network analysis as a reliable tool for understanding and analyzing criminality and criminal networks. PMID:25775130
Rostami, Amir; Mondani, Hernan
2015-01-01
The field of social network analysis has received increasing attention during the past decades and has been used to tackle a variety of research questions, from prevention of sexually transmitted diseases to humanitarian relief operations. In particular, social network analyses are becoming an important component in studies of criminal networks and in criminal intelligence analysis. At the same time, intelligence analyses and assessments have become a vital component of modern approaches in policing, with policy implications for crime prevention, especially in the fight against organized crime. In this study, we have a unique opportunity to examine one specific Swedish street gang with three different datasets. These datasets are the most common information sources in studies of criminal networks: intelligence, surveillance and co-offending data. We use the data sources to build networks, and compare them by computing distance, centrality, and clustering measures. This study shows the complexity factor by which different data sources about the same object of study have a fundamental impact on the results. The same individuals have different importance ranking depending on the dataset and measure. Consequently, the data source plays a vital role in grasping the complexity of the phenomenon under study. Researchers, policy makers, and practitioners should therefore pay greater attention to the biases affecting the sources of the analysis, and be cautious when drawing conclusions based on intelligence assessments and limited network data. This study contributes to strengthening social network analysis as a reliable tool for understanding and analyzing criminality and criminal networks.
The cognitive niche: Coevolution of intelligence, sociality, and language
Pinker, Steven
2010-01-01
Although Darwin insisted that human intelligence could be fully explained by the theory of evolution, the codiscoverer of natural selection, Alfred Russel Wallace, claimed that abstract intelligence was of no use to ancestral humans and could only be explained by intelligent design. Wallace's apparent paradox can be dissolved with two hypotheses about human cognition. One is that intelligence is an adaptation to a knowledge-using, socially interdependent lifestyle, the “cognitive niche.” This embraces the ability to overcome the evolutionary fixed defenses of plants and animals by applications of reasoning, including weapons, traps, coordinated driving of game, and detoxification of plants. Such reasoning exploits intuitive theories about different aspects of the world, such as objects, forces, paths, places, states, substances, and other people's beliefs and desires. The theory explains many zoologically unusual traits in Homo sapiens, including our complex toolkit, wide range of habitats and diets, extended childhoods and long lives, hypersociality, complex mating, division into cultures, and language (which multiplies the benefit of knowledge because know-how is useful not only for its practical benefits but as a trade good with others, enhancing the evolution of cooperation). The second hypothesis is that humans possess an ability of metaphorical abstraction, which allows them to coopt faculties that originally evolved for physical problem-solving and social coordination, apply them to abstract subject matter, and combine them productively. These abilities can help explain the emergence of abstract cognition without supernatural or exotic evolutionary forces and are in principle testable by analyses of statistical signs of selection in the human genome. PMID:20445094
Colloquium paper: the cognitive niche: coevolution of intelligence, sociality, and language.
Pinker, Steven
2010-05-11
Although Darwin insisted that human intelligence could be fully explained by the theory of evolution, the codiscoverer of natural selection, Alfred Russel Wallace, claimed that abstract intelligence was of no use to ancestral humans and could only be explained by intelligent design. Wallace's apparent paradox can be dissolved with two hypotheses about human cognition. One is that intelligence is an adaptation to a knowledge-using, socially interdependent lifestyle, the "cognitive niche." This embraces the ability to overcome the evolutionary fixed defenses of plants and animals by applications of reasoning, including weapons, traps, coordinated driving of game, and detoxification of plants. Such reasoning exploits intuitive theories about different aspects of the world, such as objects, forces, paths, places, states, substances, and other people's beliefs and desires. The theory explains many zoologically unusual traits in Homo sapiens, including our complex toolkit, wide range of habitats and diets, extended childhoods and long lives, hypersociality, complex mating, division into cultures, and language (which multiplies the benefit of knowledge because know-how is useful not only for its practical benefits but as a trade good with others, enhancing the evolution of cooperation). The second hypothesis is that humans possess an ability of metaphorical abstraction, which allows them to coopt faculties that originally evolved for physical problem-solving and social coordination, apply them to abstract subject matter, and combine them productively. These abilities can help explain the emergence of abstract cognition without supernatural or exotic evolutionary forces and are in principle testable by analyses of statistical signs of selection in the human genome.
Strategies for Teaching Social and Emotional Intelligence in Business Communication
ERIC Educational Resources Information Center
Sigmar, Lucia Stretcher; Hynes, Geraldine E.; Hill, Kathy L.
2012-01-01
Incorporating social and emotional skills (EI) training into the business communication curriculum is important for preparing students to function effectively in a global workplace with its complex informal networks, intercultural issues, team emphasis, and participatory leadership. EI skills enhance communication behavior in work groups and…
Che, Dexin; Hu, Jianping; Zhen, Shuangju; Yu, Chengfu; Li, Bin; Chang, Xi; Zhang, Wei
2017-01-01
This study tested a parallel two-mediator model in which the relationship between dimensions of emotional intelligence and online gaming addiction are mediated by perceived helplessness and perceived self-efficacy, respectively. The sample included 931 male adolescents (mean age = 16.18 years, SD = 0.95) from southern China. Data on emotional intelligence (four dimensions, including self-management of emotion, social skills, empathy and utilization of emotions), perceived stress (two facets, including perceived self-efficacy and perceived helplessness) and online gaming addiction were collected, and bootstrap methods were used to test this parallel two-mediator model. Our findings revealed that perceived self-efficacy mediated the relationship between three dimensions of emotional intelligence (i.e., self-management, social skills, and empathy) and online gaming addiction, and perceived helplessness mediated the relationship between two dimensions of emotional intelligence (i.e., self-management and emotion utilization) and online gaming addiction. These findings underscore the importance of separating the four dimensions of emotional intelligence and two facets of perceived stress to understand the complex relationship between these factors and online gaming addiction.
Che, Dexin; Hu, Jianping; Zhen, Shuangju; Yu, Chengfu; Li, Bin; Chang, Xi; Zhang, Wei
2017-01-01
This study tested a parallel two-mediator model in which the relationship between dimensions of emotional intelligence and online gaming addiction are mediated by perceived helplessness and perceived self-efficacy, respectively. The sample included 931 male adolescents (mean age = 16.18 years, SD = 0.95) from southern China. Data on emotional intelligence (four dimensions, including self-management of emotion, social skills, empathy and utilization of emotions), perceived stress (two facets, including perceived self-efficacy and perceived helplessness) and online gaming addiction were collected, and bootstrap methods were used to test this parallel two-mediator model. Our findings revealed that perceived self-efficacy mediated the relationship between three dimensions of emotional intelligence (i.e., self-management, social skills, and empathy) and online gaming addiction, and perceived helplessness mediated the relationship between two dimensions of emotional intelligence (i.e., self-management and emotion utilization) and online gaming addiction. These findings underscore the importance of separating the four dimensions of emotional intelligence and two facets of perceived stress to understand the complex relationship between these factors and online gaming addiction. PMID:28751876
ERIC Educational Resources Information Center
Rudolph, Michelle M.
2017-01-01
The education of student nurses is a complex endeavor involving the components of theory, skills, and clinical experiences during which the clinical instructor serves as a role model for socialization into the profession. Emotional intelligence, a skill that supports interpersonal relationships, enables the nursing clinical instructor to identify,…
The power of social structure: how we became an intelligent lineage
NASA Astrophysics Data System (ADS)
de Sousa António, Marina Resendes; Schulze-Makuch, Dirk
2011-01-01
New findings pertinent to the human lineage origin (Ardipithecus ramidus) prompt a new analysis of the extrapolation of the social behavior of our closest relatives, the great apes, into human ‘natural social behavior’. With the new findings it becomes clear that human ancestors had very divergent social arrangements from the ones we observe today in our closest genetic relatives. The social structure of chimpanzees and gorillas is characterized by male competition. Aggression and the instigation of fear are common place. The morphology of A. ramidus points in the direction of a social system characterized by female-choice instead of male-male competition. This system tends to be characterized by reduced aggression levels, leading to more stable arrangements. It is postulated here that the social stability with accompanying group cohesion propitiated by this setting is favorable to the investment in more complex behaviors, the development of innovative approaches to solve familiar problems, an increase in exploratory behavior, and eventually higher intelligence and the use of sophisticated tools and technology. The concentration of research efforts into the study of social animals with similar social systems (e.g., New World social monkeys (Callitrichidae), social canids (Canidae) and social rodents (Rodentia)) are likely to provide new insights into the understanding of what factors determined our evolution into an intelligent species capable of advanced technology.
Information Dissemination of Public Health Emergency on Social Networks and Intelligent Computation
Hu, Hongzhi; Mao, Huajuan; Hu, Xiaohua; Hu, Feng; Sun, Xuemin; Jing, Zaiping; Duan, Yunsuo
2015-01-01
Due to the extensive social influence, public health emergency has attracted great attention in today's society. The booming social network is becoming a main information dissemination platform of those events and caused high concerns in emergency management, among which a good prediction of information dissemination in social networks is necessary for estimating the event's social impacts and making a proper strategy. However, information dissemination is largely affected by complex interactive activities and group behaviors in social network; the existing methods and models are limited to achieve a satisfactory prediction result due to the open changeable social connections and uncertain information processing behaviors. ACP (artificial societies, computational experiments, and parallel execution) provides an effective way to simulate the real situation. In order to obtain better information dissemination prediction in social networks, this paper proposes an intelligent computation method under the framework of TDF (Theory-Data-Feedback) based on ACP simulation system which was successfully applied to the analysis of A (H1N1) Flu emergency. PMID:26609303
Information Dissemination of Public Health Emergency on Social Networks and Intelligent Computation.
Hu, Hongzhi; Mao, Huajuan; Hu, Xiaohua; Hu, Feng; Sun, Xuemin; Jing, Zaiping; Duan, Yunsuo
2015-01-01
Due to the extensive social influence, public health emergency has attracted great attention in today's society. The booming social network is becoming a main information dissemination platform of those events and caused high concerns in emergency management, among which a good prediction of information dissemination in social networks is necessary for estimating the event's social impacts and making a proper strategy. However, information dissemination is largely affected by complex interactive activities and group behaviors in social network; the existing methods and models are limited to achieve a satisfactory prediction result due to the open changeable social connections and uncertain information processing behaviors. ACP (artificial societies, computational experiments, and parallel execution) provides an effective way to simulate the real situation. In order to obtain better information dissemination prediction in social networks, this paper proposes an intelligent computation method under the framework of TDF (Theory-Data-Feedback) based on ACP simulation system which was successfully applied to the analysis of A (H1N1) Flu emergency.
Social media for intelligence: practical examples of analysis for understanding
NASA Astrophysics Data System (ADS)
Juhlin, Jonas A.; Richardson, John
2016-05-01
Social media has become a dominating feature in modern life. Platforms like Facebook, Twitter, and Google have users all over the world. People from all walks of life use social media. For the intelligence services, social media is an element that cannot be ignored. It holds immense amount of information, and the potential to extract useful intelligence cannot be ignored. Social media has been around for sufficient time that most intelligence services recognize the fact that social media needs some form of attention. However, for the intelligence collector and analyst several aspects must be uncovered in order to fully exploit social media for intelligence purposes. This paper will present Project Avatar, an experiment in obtaining effective intelligence from social media sources, and several emerging analytic techniques to expand the intelligence gathered from these sources.
Swarm Intelligence in Text Document Clustering
DOE Office of Scientific and Technical Information (OSTI.GOV)
Cui, Xiaohui; Potok, Thomas E
2008-01-01
Social animals or insects in nature often exhibit a form of emergent collective behavior. The research field that attempts to design algorithms or distributed problem-solving devices inspired by the collective behavior of social insect colonies is called Swarm Intelligence. Compared to the traditional algorithms, the swarm algorithms are usually flexible, robust, decentralized and self-organized. These characters make the swarm algorithms suitable for solving complex problems, such as document collection clustering. The major challenge of today's information society is being overwhelmed with information on any topic they are searching for. Fast and high-quality document clustering algorithms play an important role inmore » helping users to effectively navigate, summarize, and organize the overwhelmed information. In this chapter, we introduce three nature inspired swarm intelligence clustering approaches for document clustering analysis. These clustering algorithms use stochastic and heuristic principles discovered from observing bird flocks, fish schools and ant food forage.« less
Connor, Richard C
2007-04-29
Bottlenose dolphins in Shark Bay, Australia, live in a large, unbounded society with a fission-fusion grouping pattern. Potential cognitive demands include the need to develop social strategies involving the recognition of a large number of individuals and their relationships with others. Patterns of alliance affiliation among males may be more complex than are currently known for any non-human, with individuals participating in 2-3 levels of shifting alliances. Males mediate alliance relationships with gentle contact behaviours such as petting, but synchrony also plays an important role in affiliative interactions. In general, selection for social intelligence in the context of shifting alliances will depend on the extent to which there are strategic options and risk. Extreme brain size evolution may have occurred more than once in the toothed whales, reaching peaks in the dolphin family and the sperm whale. All three 'peaks' of large brain size evolution in mammals (odontocetes, humans and elephants) shared a common selective environment: extreme mutual dependence based on external threats from predators or conspecific groups. In this context, social competition, and consequently selection for greater cognitive abilities and large brain size, was intense.
ERIC Educational Resources Information Center
Selvi, Sezgin; Demir, Selçuk Besir
2017-01-01
This qualitative study was conducted to compare the perceptions of students with gifted intelligence and students with those of normal intelligence about social science and social scientists. The data obtained from 23 gifted intelligent and 23 normal participants within the same age group was analysed using content analysis and results were…
Genetics and intelligence differences: five special findings.
Plomin, R; Deary, I J
2015-02-01
Intelligence is a core construct in differential psychology and behavioural genetics, and should be so in cognitive neuroscience. It is one of the best predictors of important life outcomes such as education, occupation, mental and physical health and illness, and mortality. Intelligence is one of the most heritable behavioural traits. Here, we highlight five genetic findings that are special to intelligence differences and that have important implications for its genetic architecture and for gene-hunting expeditions. (i) The heritability of intelligence increases from about 20% in infancy to perhaps 80% in later adulthood. (ii) Intelligence captures genetic effects on diverse cognitive and learning abilities, which correlate phenotypically about 0.30 on average but correlate genetically about 0.60 or higher. (iii) Assortative mating is greater for intelligence (spouse correlations ~0.40) than for other behavioural traits such as personality and psychopathology (~0.10) or physical traits such as height and weight (~0.20). Assortative mating pumps additive genetic variance into the population every generation, contributing to the high narrow heritability (additive genetic variance) of intelligence. (iv) Unlike psychiatric disorders, intelligence is normally distributed with a positive end of exceptional performance that is a model for 'positive genetics'. (v) Intelligence is associated with education and social class and broadens the causal perspectives on how these three inter-correlated variables contribute to social mobility, and health, illness and mortality differences. These five findings arose primarily from twin studies. They are being confirmed by the first new quantitative genetic technique in a century-Genome-wide Complex Trait Analysis (GCTA)-which estimates genetic influence using genome-wide genotypes in large samples of unrelated individuals. Comparing GCTA results to the results of twin studies reveals important insights into the genetic architecture of intelligence that are relevant to attempts to narrow the 'missing heritability' gap.
Genetics and intelligence differences: five special findings
Plomin, R; Deary, I J
2015-01-01
Intelligence is a core construct in differential psychology and behavioural genetics, and should be so in cognitive neuroscience. It is one of the best predictors of important life outcomes such as education, occupation, mental and physical health and illness, and mortality. Intelligence is one of the most heritable behavioural traits. Here, we highlight five genetic findings that are special to intelligence differences and that have important implications for its genetic architecture and for gene-hunting expeditions. (i) The heritability of intelligence increases from about 20% in infancy to perhaps 80% in later adulthood. (ii) Intelligence captures genetic effects on diverse cognitive and learning abilities, which correlate phenotypically about 0.30 on average but correlate genetically about 0.60 or higher. (iii) Assortative mating is greater for intelligence (spouse correlations ~0.40) than for other behavioural traits such as personality and psychopathology (~0.10) or physical traits such as height and weight (~0.20). Assortative mating pumps additive genetic variance into the population every generation, contributing to the high narrow heritability (additive genetic variance) of intelligence. (iv) Unlike psychiatric disorders, intelligence is normally distributed with a positive end of exceptional performance that is a model for ‘positive genetics'. (v) Intelligence is associated with education and social class and broadens the causal perspectives on how these three inter-correlated variables contribute to social mobility, and health, illness and mortality differences. These five findings arose primarily from twin studies. They are being confirmed by the first new quantitative genetic technique in a century—Genome-wide Complex Trait Analysis (GCTA)—which estimates genetic influence using genome-wide genotypes in large samples of unrelated individuals. Comparing GCTA results to the results of twin studies reveals important insights into the genetic architecture of intelligence that are relevant to attempts to narrow the ‘missing heritability' gap. PMID:25224258
Orca Behavior and Subsequent Aggression Associated with Oceanarium Confinement
Anderson, Robert; Waayers, Robyn; Knight, Andrew
2016-01-01
Simple Summary Orca behaviors interacting with humans within apparent friendship bonds are reviewed, and some impediments to the human evaluation of delphinid intelligence are discussed. The subsequent involvement of these orcas and their offspring in aggressive incidents with humans is also documented and examined. This is particularly relevant given that the highest recorded rates of aggressive incidents have occurred among orcas who had previously established unstructured human friendship bonds prior to their inclusion within oceanaria performances. It is concluded that the confinement of orcas within aquaria, and their use in entertainment programs, is morally indefensible, given their high intelligence, complex behaviors, and the apparent adverse effects on orcas of such confinement and use. Abstract Based on neuroanatomical indices such as brain size and encephalization quotient, orcas are among the most intelligent animals on Earth. They display a range of complex behaviors indicative of social intelligence, but these are difficult to study in the open ocean where protective laws may apply, or in captivity, where access is constrained for commercial and safety reasons. From 1979 to 1980, however, we were able to interact with juvenile orcas in an unstructured way at San Diego’s SeaWorld facility. We observed in the animals what appeared to be pranks, tests of trust, limited use of tactical deception, emotional self-control, and empathetic behaviors. Our observations were consistent with those of a former Seaworld trainer, and provide important insights into orca cognition, communication, and social intelligence. However, after being trained as performers within Seaworld’s commercial entertainment program, a number of orcas began to exhibit aggressive behaviors. The orcas who previously established apparent friendships with humans were most affected, although significant aggression also occurred in some of their descendants, and among the orcas they lived with. Such oceanaria confinement and commercial use can no longer be considered ethically defensible, given the current understanding of orcas’ advanced cognitive, social, and communicative capacities, and of their behavioral needs. PMID:27548232
Distributed Electrical Energy Systems: Needs, Concepts, Approaches and Vision (in Chinese)
DOE Office of Scientific and Technical Information (OSTI.GOV)
Zhang, Yingchen; Zhang, Jun; Gao, Wenzhong
Intelligent distributed electrical energy systems (IDEES) are featured by vast system components, diversifled component types, and difficulties in operation and management, which results in that the traditional centralized power system management approach no longer flts the operation. Thus, it is believed that the blockchain technology is one of the important feasible technical paths for building future large-scale distributed electrical energy systems. An IDEES is inherently with both social and technical characteristics, as a result, a distributed electrical energy system needs to be divided into multiple layers, and at each layer, a blockchain is utilized to model and manage its logicmore » and physical functionalities. The blockchains at difierent layers coordinate with each other and achieve successful operation of the IDEES. Speciflcally, the multi-layer blockchains, named 'blockchain group', consist of distributed data access and service blockchain, intelligent property management blockchain, power system analysis blockchain, intelligent contract operation blockchain, and intelligent electricity trading blockchain. It is expected that the blockchain group can be self-organized into a complex, autonomous and distributed IDEES. In this complex system, frequent and in-depth interactions and computing will derive intelligence, and it is expected that such intelligence can bring stable, reliable and efficient electrical energy production, transmission and consumption.« less
Can Research on the Genetics of Intelligence Be "Socially Neutral"?
Roberts, Dorothy
2015-01-01
The history of research on the genetics of intelligence is fraught with social bias. During the eugenics era, the hereditary theory of intelligence justified policies that encouraged the proliferation of favored races and coercively stemmed procreation by disfavored ones. In the 1970s, Berkeley psychologist Arthur Jensen argued that black students' innate cognitive inferiority limited the efficacy of federal education programs. The 1994 controversial bestseller The Bell Curve, by Richard J. Herrnstein and Charles Murray, rehashed the claim that race and class disparities stem from immutable differences in inherited intelligence, which could not be eliminated through social interventions. Today most scientists studying the genetics of intelligence distance themselves from this history of social bias by arguing that their research need not investigate intellectual differences between social groups. Rather, they argue, examining the heritability of intelligence can be socially neutral and may even help to reduce social inequities. I argue, however, that research on the genetics of intelligence cannot be socially neutral. Even if we divorce the heritability of intelligence from a eugenicist mission, measuring intelligence remains useful only as a gage of individuals' appropriate positions in society. Research into the genetics of intelligence ultimately helps to determine individuals' inherited capacity for particular social positions, even when researchers aim to modify the effects of inheritance. © 2015 The Hastings Center.
NASA Astrophysics Data System (ADS)
Herzing, Denise L.
2014-02-01
Intelligence has historically been studied by comparing nonhuman cognitive and language abilities with human abilities. Primate-like species, which show human-like anatomy and share evolutionary lineage, have been the most studied. However, when comparing animals of non-primate origins our abilities to profile the potential for intelligence remains inadequate. Historically our measures for nonhuman intelligence have included a variety of tools: (1) physical measurements - brain to body ratio, brain structure/convolution/neural density, presence of artifacts and physical tools, (2) observational and sensory measurements - sensory signals, complexity of signals, cross-modal abilities, social complexity, (3) data mining - information theory, signal/noise, pattern recognition, (4) experimentation - memory, cognition, language comprehension/use, theory of mind, (5) direct interfaces - one way and two way interfaces with primates, dolphins, birds and (6) accidental interactions - human/animal symbiosis, cross-species enculturation. Because humans tend to focus on "human-like" attributes and measures and scientists are often unwilling to consider other "types" of intelligence that may not be human equated, our abilities to profile "types" of intelligence that differ on a variety of scales is weak. Just as biologists stretch their definitions of life to look at extremophiles in unusual conditions, so must we stretch our descriptions of types of minds and begin profiling, rather than equating, other life forms we may encounter.
Meslec, Nicoleta; Aggarwal, Ishani; Curseu, Petru L
2016-01-01
A group's collective intelligence reflects its capacity to perform well across a variety of cognitive tasks and it transcends the individual intelligence of its members. Previous research shows that group members' social sensitivity is a potential antecedent of collective intelligence, yet it is still unclear whether individual or group-level indices are responsible for the positive association between social sensitivity and collective intelligence. In a comprehensive manner, we test the extent to which both compositional (lowest and highest individual score) and compilational aspects (emergent group level) of social sensitivity are associated with collective intelligence. This study has implications for research that explores groups as information processors, and for group design as it indicates how a group should be composed with respect to social sensitivity if the group is to reach high levels of collective intelligence. Our empirical results indicate that collectively intelligent groups are those in which the least socially sensitive group member has a rather high score on social sensitivity. Differently stated, (socially sensitive) group members cannot compensate for the lack of social sensitivity of the other group members.
Sensemaking Training Requirements for the Adaptive Battlestaff
2007-06-01
for the Adaptive Battlestaff Topic: Cognitive and Social Issues Celestine A. Ntuen1& Dennis Leedom2 1Army Center for Human-Centric Command...intelligent analysts. We need a new training strategy, paradigms, and methods for this purpose. The sensemaking trainability factors o must be identified...juxtapositions of social forces—a complex of network of information systems with people, technology, and domains of adversaries (tasks) that have been
Yeh, Zai-Ting
2013-01-01
Social intelligence is the ability to understand others and the social context effectively and thus to interact with people successfully. Research has suggested that the theory of mind (ToM) and executive function may play important roles in explaining social intelligence. The specific aim of the present study was to test with structural equation modeling (SEM) the hypothesis that performance on ToM tasks is more associated with social intelligence in the elderly than is performance on executive functions. One hundred and seventy-seven participants (age 56-96) completed ToM, executive function, and other basic cognition tasks, and were rated with social intelligence scales. The SEM results showed that ToM and executive function were strongly correlated (0.54); however, only the path coefficient from ToM to social intelligence, and not from executive function, was significant (0.37). ToM performance, but not executive function, was strongly correlated with social intelligence among elderly individuals. ToM and executive function might play different roles in social behavior during normal aging; however, based on the present results, it is possible that ToM might play an important role in social intelligence.
The U.S. Army Functional Concept for Intelligence 2020-2040
2017-02-01
Soldiers to mitigate many complex problems of the future OE. Improved or new analytic processes will use very large data sets to address emerging...increasing. Army collection against publically available data sources may offer insights to social interconnectedness, political dynamics and complex... data used to support situational understanding. (5) Uncertainty and rapid change elevate the analytic risk associated with decision making and
USDA-ARS?s Scientific Manuscript database
The pig is increasingly popular as a laboratory animal either as the target species in its own right or as a model for humans in biomedical science. As an intelligent, social animal it has a complex behavioral repertoire reminiscent of its ancestor, the wild boar. Within a laboratory setting, the pi...
Discrimination of Two Aspects of Cognitive-Social Intelligence from Academic Intelligence.
ERIC Educational Resources Information Center
Jones, Karen; Day, Jeanne D.
1997-01-01
A multitrait-multimethod study collected measures of social-cognitive flexibility, crystallized social knowledge, and academic problem solving from 169 high school seniors. Results support a division of social-cognitive intelligence into declarative and procedural social knowledge (crystallized) and flexible knowledge application as distinct from…
Clarke, Michael; Newton, Caroline; Petrides, Konstantinos; Griffiths, Tom; Lysley, Andrew; Price, Katie
2012-03-01
The aim of this study was to examine variation in the frequency of children's participation in out-of-school activities as a function of speech intelligibility, perceived effectiveness of the child's communication aid, and age. Sixty-nine caregivers of children with complex communication needs provided with communication aids completed a questionnaire survey. Rate of participation was higher for younger than for older children, particularly in recreational activities. Younger children with partial intelligibility participated more frequently in recreational and social activities than both younger children without speech and older children. Results and limitations are discussed within the context of participation research in childhood disability, highlighting the impact of communicative resources and maturation on everyday participation.
Zhao, Liyun; Yu, Wentao; Jia, Fengmei; Liu, Aidong; Vi, Guoqin; Song, Yi; Gong, Chenrui; Hua, Liming; Zhang, Jiguo; Zhai, Fengying
2009-11-01
To analyze the effect of complex nutrients on growth and development, intelligence and nutrition state of 6-12 years old children in two continuous years. According to the rural school's similar condition, such as social economical statement, education condition and proportion of students entering schools, 6 rural schools were respectively selected in Xishui County of Hubei Province as the experimental group and control group. In the former, middle and later periods (2004, 2005, 2006 ), growth and development, nutrition state and intelligence were analyzed and compared. The increase of height and weight in experimental group were higher than those of the control group. In 2 years, height in experimental group increased 12.9 cm, while the control group increased 11.5 cm. Weights increased in experimental group were 6.6 kg, while the control group increased 5.2 kg. Girl's bone density in experimental group increased from 0.236 g/cm in 2004 to 0.280 g/cm in 2006. The hemoglobin contents of 4 age group's children in experimental group increased significantly (P < 0.05) . While the anemia prevalence decreased 25 .8% in 2 years, the control group decreased 7.2%. Moreover, other results showed that the complex nutrients also have some effect on the intelligence in experiment group. The complex nutrients supplement could improve the rural school children's growth and development, bone and intelligence.
Kampe, Christopher; Reid, Gwendolynne; Jones, Paul; S, Colleen; S, Sean; Vogel, Kathleen M
2018-01-09
Academia-intelligence agency collaborations are on the rise for a variety of reasons. These can take many forms, one of which is in the classroom, using students to stand in for intelligence analysts. Classrooms, however, are ethically complex spaces, with students considered vulnerable populations, and become even more complex when layering multiple goals, activities, tools, and stakeholders over those traditionally present. This does not necessarily mean one must shy away from academia-intelligence agency partnerships in classrooms, but that these must be conducted carefully and reflexively. This paper hopes to contribute to this conversation by describing one purposeful classroom encounter that occurred between a professor, students, and intelligence practitioners in the fall of 2015 at North Carolina State University: an experiment conducted as part of a graduate-level political science class that involved students working with a prototype analytic technology, a type of participatory sensing/self-tracking device, developed by the National Security Agency. This experiment opened up the following questions that this paper will explore: What social, ethical, and pedagogical considerations arise with the deployment of a prototype intelligence technology in the college classroom, and how can they be addressed? How can academia-intelligence agency collaboration in the classroom be conducted in ways that provide benefits to all parties, while minimizing disruptions and negative consequences? This paper will discuss the experimental findings in the context of ethical perspectives involved in values in design and participatory/self-tracking data practices, and discuss lessons learned for the ethics of future academia-intelligence agency partnerships in the classroom.
The Role of Intelligence in Social Learning.
Vostroknutov, Alexander; Polonio, Luca; Coricelli, Giorgio
2018-05-02
Studies in cultural evolution have uncovered many types of social learning strategies that are adaptive in certain environments. The efficiency of these strategies also depends on the individual characteristics of both the observer and the demonstrator. We investigate the relationship between intelligence and the ways social and individual information is utilised to make decisions in an uncertain environment. We measure fluid intelligence and study experimentally how individuals learn from observing the choices of a demonstrator in a 2-armed bandit problem with changing probabilities of a reward. Participants observe a demonstrator with high or low fluid intelligence. In some treatments they are aware of the intelligence score of the demonstrator and in others they are not. Low fluid intelligence individuals imitate the demonstrator more when her fluid intelligence is known than when it is not. Conversely, individuals with high fluid intelligence adjust their use of social information, as the observed behaviour changes, independently of the knowledge of the intelligence of the demonstrator. We provide evidence that intelligence determines how social and individual information is integrated in order to make choices in a changing uncertain environment.
What Does Neuroscience and Cognitive Psychology Tell Us about Multiple Intelligence
ERIC Educational Resources Information Center
Bauer, Richard H.
2009-01-01
Studies that have used noninvasive brain imaging techniques to record neocortical activity while individuals were performing cognitive intelligence tests (traditional intelligence) and social intelligence tests were reviewed. In cognitive intelligence tests 16 neocortical areas were active, whereas in social intelligence 10 areas were active.…
Orca Behavior and Subsequent Aggression Associated with Oceanarium Confinement.
Anderson, Robert; Waayers, Robyn; Knight, Andrew
2016-08-18
Based on neuroanatomical indices such as brain size and encephalization quotient, orcas are among the most intelligent animals on Earth. They display a range of complex behaviors indicative of social intelligence, but these are difficult to study in the open ocean where protective laws may apply, or in captivity, where access is constrained for commercial and safety reasons. From 1979 to 1980, however, we were able to interact with juvenile orcas in an unstructured way at San Diego's SeaWorld facility. We observed in the animals what appeared to be pranks, tests of trust, limited use of tactical deception, emotional self-control, and empathetic behaviors. Our observations were consistent with those of a former Seaworld trainer, and provide important insights into orca cognition, communication, and social intelligence. However, after being trained as performers within Seaworld's commercial entertainment program, a number of orcas began to exhibit aggressive behaviors. The orcas who previously established apparent friendships with humans were most affected, although significant aggression also occurred in some of their descendants, and among the orcas they lived with. Such oceanaria confinement and commercial use can no longer be considered ethically defensible, given the current understanding of orcas' advanced cognitive, social, and communicative capacities, and of their behavioral needs.
Abdollahi, Abbas; Abu Talib, Mansor
2016-01-01
To examine the relationships between self-esteem, body-esteem, emotional intelligence, and social anxiety, as well as to examine the moderating role of weight between exogenous variables and social anxiety, 520 university students completed the self-report measures. Structural equation modeling revealed that individuals with low self-esteem, body-esteem, and emotional intelligence were more likely to report social anxiety. The findings indicated that obese and overweight individuals with low body-esteem, emotional intelligence, and self-esteem had higher social anxiety than others. Our results highlight the roles of body-esteem, self-esteem, and emotional intelligence as influencing factors for reducing social anxiety.
Teaching to Multiple Intelligence by Following a "Slime Trail"
ERIC Educational Resources Information Center
Delaney, Carol J.; Shafer, Francie Keller
2007-01-01
In this age of teacher accountability and high-stakes testing, practicing middle school teachers face many complex issues. Because adolescents must deal with the challenges of physical, social, emotional, and intellectual change, they are considered the most diverse population in the public school system. One way to increase achievement and…
Social energy: mining energy from the society
DOE Office of Scientific and Technical Information (OSTI.GOV)
Zhang, Jun Jason; Gao, David Wenzhong; Zhang, Yingchen
The inherent nature of energy, i.e., physicality, sociality and informatization, implies the inevitable and intensive interaction between energy systems and social systems. From this perspective, we define 'social energy' as a complex sociotechnical system of energy systems, social systems and the derived artificial virtual systems which characterize the intense intersystem and intra-system interactions. The recent advancement in intelligent technology, including artificial intelligence and machine learning technologies, sensing and communication in Internet of Things technologies, and massive high performance computing and extreme-scale data analytics technologies, enables the possibility of substantial advancement in socio-technical system optimization, scheduling, control and management. In thismore » paper, we provide a discussion on the nature of energy, and then propose the concept and intention of social energy systems for electrical power. A general methodology of establishing and investigating social energy is proposed, which is based on the ACP approach, i.e., 'artificial systems' (A), 'computational experiments' (C) and 'parallel execution' (P), and parallel system methodology. A case study on the University of Denver (DU) campus grid is provided and studied to demonstrate the social energy concept. In the concluding remarks, we discuss the technical pathway, in both social and nature sciences, to social energy, and our vision on its future.« less
Social network supported process recommender system.
Ye, Yanming; Yin, Jianwei; Xu, Yueshen
2014-01-01
Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced.
Salavera, Carlos; Usán, Pablo; Jarie, Laurane
2017-10-01
Self-efficacy affects our students' academic results, which may be related to people's social skills and emotional intelligence. This study included 1402 (50.71% males) Secondary Education Spanish students (12-17 years), and analysed the relation of self-efficacy with emotional intelligence and social skills. It showed how these constructs were related, and how the self-efficacy perceived by students varied according to their social skills and emotional intelligence. Gender did not influence self-efficacy, social skills and emotional intelligence. These variables showed similar correlation indices in females and males. Self-efficacy was related with social skills and emotional intelligence in Secondary Education students, but this relation was not gender-sensitive. More studies and research are needed to study and describe these variables according to gender from other perspectives. One proposal is to investigate the association between gender identity and self-efficacy and social skills and emotional intelligence to better understand how these constructs participate in adolescent development. Copyright © 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.
Social intelligence and academic achievement as predictors of adolescent popularity.
Meijs, Noortje; Cillessen, Antonius H N; Scholte, Ron H J; Segers, Eliane; Spijkerman, Renske
2010-01-01
This study compared the effects of social intelligence and cognitive intelligence, as measured by academic achievement, on adolescent popularity in two school contexts. A distinction was made between sociometric popularity, a measure of acceptance, and perceived popularity, a measure of social dominance. Participants were 512, 14-15 year-old adolescents (56% girls, 44% boys) in vocational and college preparatory schools in Northwestern Europe. Perceived popularity was significantly related to social intelligence, but not to academic achievement, in both contexts. Sociometric popularity was predicted by an interaction between academic achievement and social intelligence, further qualified by school context. Whereas college bound students gained sociometric popularity by excelling both socially and academically, vocational students benefited from doing well either socially or academically, but not in combination. The implications of these findings were discussed.
Emotional intelligence as a basis for self-esteem in young adults.
Cheung, Chau-Kiu; Cheung, Hoi Yan; Hue, Ming-Tak
2015-01-01
As self-esteem is likely to build on favorable social experiences, such as those derived from achievement (i.e., GPA) and social competence, emotional intelligence is likely to be pivotal in fostering social experiences conducive to self-esteem. Accordingly, emotional intelligence is likely to underlie social competence and mediate the contribution of achievement to self-esteem. This uncharted role is the focus of this study, which surveyed 405 undergraduates in Hong Kong, China. Results demonstrated the pivotal role of emotional intelligence. Essentially, emotional intelligence appeared to be a strong determinant of self-esteem and explain away the positive effect of social competence on self-esteem. The results imply the value of raising emotional intelligence in order to consolidate the basis for the young adult's self-esteem.
Infrastructural intelligence: Contemporary entanglements between neuroscience and AI.
Bruder, Johannes
2017-01-01
In this chapter, I reflect on contemporary entanglements between artificial intelligence and the neurosciences by tracing the development of Google's recent DeepMind algorithms back to their roots in neuroscientific studies of episodic memory and imagination. Google promotes a new form of "infrastructural intelligence," which excels by constantly reassessing its cognitive architecture in exchange with a cloud of data that surrounds it, and exhibits putatively human capacities such as intuition. I argue that such (re)alignments of biological and artificial intelligence have been enabled by a paradigmatic infrastructuralization of the brain in contemporary neuroscience. This infrastructuralization is based in methodologies that epistemically liken the brain to complex systems of an entirely different scale (i.e., global logistics) and has given rise to diverse research efforts that target the neuronal infrastructures of higher cognitive functions such as empathy and creativity. What is at stake in this process is no less than the shape of brains to come and a revised understanding of the intelligent and creative social subject. © 2017 Elsevier B.V. All rights reserved.
Cooperation and the evolution of intelligence
McNally, Luke; Brown, Sam P.; Jackson, Andrew L.
2012-01-01
The high levels of intelligence seen in humans, other primates, certain cetaceans and birds remain a major puzzle for evolutionary biologists, anthropologists and psychologists. It has long been held that social interactions provide the selection pressures necessary for the evolution of advanced cognitive abilities (the ‘social intelligence hypothesis’), and in recent years decision-making in the context of cooperative social interactions has been conjectured to be of particular importance. Here we use an artificial neural network model to show that selection for efficient decision-making in cooperative dilemmas can give rise to selection pressures for greater cognitive abilities, and that intelligent strategies can themselves select for greater intelligence, leading to a Machiavellian arms race. Our results provide mechanistic support for the social intelligence hypothesis, highlight the potential importance of cooperative behaviour in the evolution of intelligence and may help us to explain the distribution of cooperation with intelligence across taxa. PMID:22496188
Hacking Your Ride: Is Web 2.0 Creating Vulnerabilities To Surface Transportation
2016-09-01
SMSN’s vulnerabilities, and uncovers terrorists’ malign use of social media for intelligence gathering. Academic researchers have already discovered...of social media for intelligence gathering. Academic researchers have already discovered threats in social navigation platforms such as Waze and...51 4. Social Navigation as Intelligence ................................................52 C. FUTURE CONCERNS
Structural Peculiarities of Social Mental Abilities of Future Teachers
ERIC Educational Resources Information Center
Yermentayevaa, Ardakh Rizabekovna; Kenzhebayeva, Kundyz Serikovna; Umirbekova, Akerke Nurlanbekovna; Aubakirova, Zhanat Kanashovna; Iskakova, Akmaral Bakytbekovna
2016-01-01
The problem of social intelligence of researchers has attracted attention in recent years. Social intelligence is one of the most important characteristics of teachers. The aim of this research was to study features of structure of social intelligence of future teachers. The respondents in this study were selected 360 students of pedagogical…
Research on application of intelligent computation based LUCC model in urbanization process
NASA Astrophysics Data System (ADS)
Chen, Zemin
2007-06-01
Global change study is an interdisciplinary and comprehensive research activity with international cooperation, arising in 1980s, with the largest scopes. The interaction between land use and cover change, as a research field with the crossing of natural science and social science, has become one of core subjects of global change study as well as the front edge and hot point of it. It is necessary to develop research on land use and cover change in urbanization process and build an analog model of urbanization to carry out description, simulation and analysis on dynamic behaviors in urban development change as well as to understand basic characteristics and rules of urbanization process. This has positive practical and theoretical significance for formulating urban and regional sustainable development strategy. The effect of urbanization on land use and cover change is mainly embodied in the change of quantity structure and space structure of urban space, and LUCC model in urbanization process has been an important research subject of urban geography and urban planning. In this paper, based upon previous research achievements, the writer systematically analyzes the research on land use/cover change in urbanization process with the theories of complexity science research and intelligent computation; builds a model for simulating and forecasting dynamic evolution of urban land use and cover change, on the basis of cellular automation model of complexity science research method and multi-agent theory; expands Markov model, traditional CA model and Agent model, introduces complexity science research theory and intelligent computation theory into LUCC research model to build intelligent computation-based LUCC model for analog research on land use and cover change in urbanization research, and performs case research. The concrete contents are as follows: 1. Complexity of LUCC research in urbanization process. Analyze urbanization process in combination with the contents of complexity science research and the conception of complexity feature to reveal the complexity features of LUCC research in urbanization process. Urban space system is a complex economic and cultural phenomenon as well as a social process, is the comprehensive characterization of urban society, economy and culture, and is a complex space system formed by society, economy and nature. It has dissipative structure characteristics, such as opening, dynamics, self-organization, non-balance etc. Traditional model cannot simulate these social, economic and natural driving forces of LUCC including main feedback relation from LUCC to driving force. 2. Establishment of Markov extended model of LUCC analog research in urbanization process. Firstly, use traditional LUCC research model to compute change speed of regional land use through calculating dynamic degree, exploitation degree and consumption degree of land use; use the theory of fuzzy set to rewrite the traditional Markov model, establish structure transfer matrix of land use, forecast and analyze dynamic change and development trend of land use, and present noticeable problems and corresponding measures in urbanization process according to research results. 3. Application of intelligent computation research and complexity science research method in LUCC analog model in urbanization process. On the basis of detailed elaboration of the theory and the model of LUCC research in urbanization process, analyze the problems of existing model used in LUCC research (namely, difficult to resolve many complexity phenomena in complex urban space system), discuss possible structure realization forms of LUCC analog research in combination with the theories of intelligent computation and complexity science research. Perform application analysis on BP artificial neural network and genetic algorithms of intelligent computation and CA model and MAS technology of complexity science research, discuss their theoretical origins and their own characteristics in detail, elaborate the feasibility of them in LUCC analog research, and bring forward improvement methods and measures on existing problems of this kind of model. 4. Establishment of LUCC analog model in urbanization process based on theories of intelligent computation and complexity science. Based on the research on abovementioned BP artificial neural network, genetic algorithms, CA model and multi-agent technology, put forward improvement methods and application assumption towards their expansion on geography, build LUCC analog model in urbanization process based on CA model and Agent model, realize the combination of learning mechanism of BP artificial neural network and fuzzy logic reasoning, express the regulation with explicit formula, and amend the initial regulation through self study; optimize network structure of LUCC analog model and methods and procedures of model parameters with genetic algorithms. In this paper, I introduce research theory and methods of complexity science into LUCC analog research and presents LUCC analog model based upon CA model and MAS theory. Meanwhile, I carry out corresponding expansion on traditional Markov model and introduce the theory of fuzzy set into data screening and parameter amendment of improved model to improve the accuracy and feasibility of Markov model in the research on land use/cover change.
A Summary of Some Biochemistry and Thermal Aspects of Intelligence.
ERIC Educational Resources Information Center
Harmon, Darell Boyd
Because of the intensity factors involved in school tasks, and the importance of schooling in determining the child's future in this complex civilization, the energy organizations and physical limits of the classroom are probably the most significant of all the factors encountered in shaping the child's ultimate social form. Very little is known…
Emotional Intelligence and Its Relationship with Levels of Social Anxiety and Stress in Adolescents.
Cejudo, Javier; Rodrigo-Ruiz, Débora; López-Delgado, Maria Luz; Losada, Lidia
2018-05-25
The aim of this work is to extend the research on the relationships between emotional intelligence and various indicators of subjective well-being in adolescents, such as stress and social anxiety. The existence of differences in stress and social anxiety as a function of an emotional intelligence score is also analyzed. A total of 505 Spanish adolescents between the ages of 12 and 18 participated in the study. The results obtained support the existence of a positive relationship between trait emotional intelligence and subjective well-being. Likewise, the existence of a negative association between emotional intelligence and stress, and emotional intelligence and social anxiety, is confirmed. These results are consistent with other similar works based on adolescent samples.
Emotional intelligence and social functioning in persons with schizotypy.
Aguirre, Fabian; Sergi, Mark J; Levy, Cynthia A
2008-09-01
The present study is the first to examine emotional intelligence in persons with schizotypy. Over 2100 undergraduates were screened for schizotypy with the Schizotypal Personality Questionnaire-Brief Version. Forty participants identified as persons with high schizotypy and 56 participants identified as persons with low schizotypy completed assessments of emotional intelligence (Mayer-Salovey-Caruso Emotional Intelligence Test), social functioning (Social Adjustment Scale-Self Report), verbal episodic (secondary) memory (California Verbal Learning Test), and executive functioning (Wisconsin Card Sorting Test). Persons high in schizotypy were impaired in overall emotional intelligence and two aspects of emotional intelligence, the ability to perceive emotions and the ability to manage emotions. Persons high in schizotypy were also impaired in three aspects of social functioning: peer relationships, family relationships, and academic functioning. Group differences in verbal episodic (secondary) memory and executive functioning were not observed. For persons with high schizotypy, overall emotional intelligence and two aspects of emotional intelligence, the ability to perceive emotions and the ability to manage emotions, were associated with peer relationship functioning. Overall emotional intelligence was associated with verbal episodic (secondary) memory, but not executive functioning, in persons with high schizotypy. The current findings suggest that emotional intelligence is impaired in persons with schizotypy and that these impairments affect their social functioning.
Nikooyeh, Elika; Zarani, Fariba; Fathabadi, Jalil
2017-08-01
Drawing upon a sample of 400 female high school students in Tehran, Iran, the present study examines the mediating role of social skills and sensation seeking in the relationship between trait emotional intelligence and school adjustment in adolescent girls. Statistical analysis revealed positive correlations between trait emotional intelligence and school adjustment; trait emotional intelligence and social skills; and social skills and school adjustment. The study also revealed a negative correlation between trait emotional intelligence and sensation seeking, as well as sensation seeking and school adjustment. In addition, the data provided a good fit to the hypothesized model of the mediating role of social skills and sensation seeking in the relationship between trait emotional intelligence and school adjustment. Copyright © 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.
Social Network Supported Process Recommender System
Ye, Yanming; Yin, Jianwei; Xu, Yueshen
2014-01-01
Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced. PMID:24672309
Foreword to "Intelligence and Social Policy."
ERIC Educational Resources Information Center
Gottfredson, Linda S.
1997-01-01
This special issue bridges inquiry on intelligence and scholarship on social policy by exploring the constraints that differences in intelligence may impose in fashioning effective social policy. The authors discuss a range of behaviors, but focus primarily on the noneducational outcomes of crime, employment, poverty, and health. (SLD)
Strategic Military Leaders - Leading Tomorrow
2008-02-29
terms. 15 Daniel Goleman , Richard Boyatzis and Annie McKee, Primal Leadership – Learning to Lead with Emotional Intelligence (Boston, MA: Harvard...in war, their role is to dominate and win. Social Intelligence Daniel Goleman defines social intelligence as a combination of two inseparable...October 2006), 3-6. 7 FM6-22, 3-7. 8 Daniel Goleman , Social Intelligence : The New Science of Human Relationships (New York, NY: Bantam Dell, October
Vocational interests of intellectually gifted and highly achieving young adults.
Vock, Miriam; Köller, Olaf; Nagy, Gabriel
2013-06-01
Vocational interests play a central role in the vocational decision-making process and are decisive for the later job satisfaction and vocational success. Based on Ackerman's (1996) notion of trait complexes, specific interest profiles of gifted high-school graduates can be expected. Vocational interests of gifted and highly achieving adolescents were compared to those of their less intelligent/achieving peers according to Holland's (1997) RIASEC model. Further, the impact of intelligence and achievement on interests were analysed while statistically controlling for potentially influencing variables. Changes in interests over time were investigated. N= 4,694 German students (age: M= 19.5, SD= .80; 54.6% females) participated in the study (TOSCA; Köller, Watermann, Trautwein, & Lüdtke, 2004). Interests were assessed in participants' final year at school and again 2 years later (N= 2,318). Gifted participants reported stronger investigative and realistic interests, but lower social interests than less intelligent participants. Highly achieving participants reported higher investigative and (in wave 2) higher artistic interests. Considerable gender differences were found: gifted girls had a flat interest profile, while gifted boys had pronounced realistic and investigative and low social interests. Multilevel multiple regression analyses predicting interests by intelligence and school achievement revealed stable interest profiles. Beyond a strong gender effect, intelligence and school achievement each contributed substantially to the prediction of vocational interests. At the time around graduation from high school, gifted young adults show stable interest profiles, which strongly differ between gender and intelligence groups. These differences are relevant for programmes for the gifted and for vocational counselling. ©2012 The British Psychological Society.
Physical intelligence does matter to cumulative technological culture.
Osiurak, François; De Oliveira, Emmanuel; Navarro, Jordan; Lesourd, Mathieu; Claidière, Nicolas; Reynaud, Emanuelle
2016-08-01
Tool-based culture is not unique to humans, but cumulative technological culture is. The social intelligence hypothesis suggests that this phenomenon is fundamentally based on uniquely human sociocognitive skills (e.g., shared intentionality). An alternative hypothesis is that cumulative technological culture also crucially depends on physical intelligence, which may reflect fluid and crystallized aspects of intelligence and enables people to understand and improve the tools made by predecessors. By using a tool-making-based microsociety paradigm, we demonstrate that physical intelligence is a stronger predictor of cumulative technological performance than social intelligence. Moreover, learners' physical intelligence is critical not only in observational learning but also when learners interact verbally with teachers. Finally, we show that cumulative performance is only slightly influenced by teachers' physical and social intelligence. In sum, human technological culture needs "great engineers" to evolve regardless of the proportion of "great pedagogues." Social intelligence might play a more limited role than commonly assumed, perhaps in tool-use/making situations in which teachers and learners have to share symbolic representations. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Murphy, Nora A
2007-03-01
Intelligence is an important trait that affects everyday social interaction. The present research utilized the ecological perspective of social perception to investigate the impression management of intelligence and strangers' evaluations of targets' intelligence levels. The ability to effectively portray an impression of intelligence to outside judges as well as interaction partners was appraised and the effect of impression management on the accurate judgment of intelligence was assessed. In addition, targets' behavior was studied in relation to impression management, perceived intelligence, and actual measured intelligence. Impression-managing targets appeared more intelligent to video judges but not to their interaction partner as compared to controls. The intelligence quotient (IQ) of impression-managing targets was more accurately judged than controls' IQ. Impression-managing targets displayed distinct nonverbal behavioral patterns that differed from controls. Looking while speaking was a key behavior: It significantly correlated with IQ, was successfully manipulated by impression-managing targets, and contributed to higher perceived intelligence ratings.
Social Intelligence and Academic Achievement as Predictors of Adolescent Popularity
ERIC Educational Resources Information Center
Meijs, Noortje; Cillessen, Antonius H. N.; Scholte, Ron H. J.; Segers, Eliane; Spijkerman, Renske
2010-01-01
This study compared the effects of social intelligence and cognitive intelligence, as measured by academic achievement, on adolescent popularity in two school contexts. A distinction was made between sociometric popularity, a measure of acceptance, and perceived popularity, a measure of social dominance. Participants were 512, 14-15 year-old…
Do Students Experience "Social Intelligence," Laughter, and Other Emotions Online?
ERIC Educational Resources Information Center
Meyer, Katrina A.; Jones, Stephanie J.
2012-01-01
Are online activities devoid of emotion and social intelligence? Graduate students in online and blended programs at Texas Tech University and the University of Memphis were surveyed about how often they laughed, felt other emotions, and expressed social intelligence. Laughter, chuckling, and smiling occurred "sometimes" as did other…
Practice-Based Evidence: Intelligent Action Inquiry for Complex Problems
ERIC Educational Resources Information Center
Eppley, Karen; Shannon, Patrick
2017-01-01
We have two goals for this article: to question the efficacy of evidence-based practice as the foundation of reading education policy and to propose practice-based evidence as a viable, more socially just alternative. In order to reach these goals, we describe the limits of reading policies of the last half century and argue for the possibilities…
Social Cognition and the Evolution of Language: Constructing Cognitive Phylogenies
Fitch, W. Tecumseh; Huber, Ludwig; Bugnyar, Thomas
2015-01-01
Human language and social cognition are closely linked: advanced social cognition is necessary for children to acquire language, and language allows forms of social understanding (and, more broadly, culture) that would otherwise be impossible. Both “language” and “social cognition” are complex constructs, involving many independent cognitive mechanisms, and the comparative approach provides a powerful route to understanding the evolution of such mechanisms. We provide a broad comparative review of mechanisms underlying social intelligence in vertebrates, with the goal of determining which human mechanisms are broadly shared, which have evolved in parallel in other clades, and which, potentially, are uniquely developed in our species. We emphasize the importance of convergent evolution for testing hypotheses about neural mechanisms and their evolution. PMID:20346756
Maternal stress, social support and preschool children's intelligence.
Slykerman, R F; Thompson, J M D; Pryor, J E; Becroft, D M O; Robinson, E; Clark, P M; Wild, C J; Mitchell, E A
2005-10-01
Despite some research suggesting maternal stress may be associated with cognitive impairment in preschool children, there has been little direct investigation of the association between maternal stress, social support and children's intelligence. To determine whether maternal stress and social support during pregnancy and during the child's early years of life are associated with the intelligence test performance of preschool children. Five hundred and fifty European mothers and children enrolled in the Auckland Birthweight Collaborative Study at birth were interviewed when the child was 3 1/2 years of age. All children were full term gestation and approximately half the sample were small for gestational age at birth (SGA = birthweight < or = 10th percentile). The cognitive ability of children aged 3 1/2 years was assessed using the Stanford Binet Intelligence Scale 4th Edition. In the total sample, maternal stress and lack of social support during pregnancy were significantly associated with lower intelligence test scores of children. In the group of SGA children, maternal stress post pregnancy was significantly associated with lower intelligence test scores in children. There is evidence that for some children the presence of good social support for mothers may reduce the negative effects of maternal stress on children's cognitive development. Maternal stress and lack of social support appear to be associated with lower intelligence test scores of preschool children. Social support may attenuate some of the negative effects of maternal stress on intelligence in children born small for gestational age.
Should Intelligent Design Be Taught in Social Studies Courses?
ERIC Educational Resources Information Center
Hess, Diana E.
2006-01-01
In this article, the author examines whether the very reasons that explain why intelligent design is controversial in the science curriculum also apply to social studies. She reports what teachers at a recent democratic education conference said about four different lessons on intelligent design that could fit into social studies courses. She…
Social Emotional Competence of Pre-School Children: Relationship to Intelligence and Maturity.
ERIC Educational Resources Information Center
Brar, S.
Social-emotional competence (SEC) is considered a measure of an individual's total effectiveness in dealing with the environment. To verify empirically whether SEC depends on the intelligence and social maturity of young children, a study of 40 preschool children was undertaken in India. A standardized intelligence test was administered to the…
Sorjonen, Kimmo; Hemmingsson, Tomas; Lundin, Andreas; Melin, Bo
2011-06-01
Intelligence and its relationship to achievement is a classical question within psychology. In accordance with earlier British studies, the present study, based on conscription data and follow-ups for Swedish men born 1949-51 (N = 36,156), found that when adjusting for attained social position, people with a high social position of origin tend to have higher intelligence and level of education than people with a lower social position of origin. These results could be seen to contradict the claim that more merit, at least when operationalized as intelligence or education, is required from people with a low social position of origin in order to attain a certain social level. © 2011 The Authors. Scandinavian Journal of Psychology © 2011 The Scandinavian Psychological Associations.
Virtual Neurorobotics (VNR) to Accelerate Development of Plausible Neuromorphic Brain Architectures.
Goodman, Philip H; Buntha, Sermsak; Zou, Quan; Dascalu, Sergiu-Mihai
2007-01-01
Traditional research in artificial intelligence and machine learning has viewed the brain as a specially adapted information-processing system. More recently the field of social robotics has been advanced to capture the important dynamics of human cognition and interaction. An overarching societal goal of this research is to incorporate the resultant knowledge about intelligence into technology for prosthetic, assistive, security, and decision support applications. However, despite many decades of investment in learning and classification systems, this paradigm has yet to yield truly "intelligent" systems. For this reason, many investigators are now attempting to incorporate more realistic neuromorphic properties into machine learning systems, encouraged by over two decades of neuroscience research that has provided parameters that characterize the brain's interdependent genomic, proteomic, metabolomic, anatomic, and electrophysiological networks. Given the complexity of neural systems, developing tenable models to capture the essence of natural intelligence for real-time application requires that we discriminate features underlying information processing and intrinsic motivation from those reflecting biological constraints (such as maintaining structural integrity and transporting metabolic products). We propose herein a conceptual framework and an iterative method of virtual neurorobotics (VNR) intended to rapidly forward-engineer and test progressively more complex putative neuromorphic brain prototypes for their ability to support intrinsically intelligent, intentional interaction with humans. The VNR system is based on the viewpoint that a truly intelligent system must be driven by emotion rather than programmed tasking, incorporating intrinsic motivation and intentionality. We report pilot results of a closed-loop, real-time interactive VNR system with a spiking neural brain, and provide a video demonstration as online supplemental material.
Molecular genetic contributions to socioeconomic status and intelligence
Marioni, Riccardo E.; Davies, Gail; Hayward, Caroline; Liewald, Dave; Kerr, Shona M.; Campbell, Archie; Luciano, Michelle; Smith, Blair H.; Padmanabhan, Sandosh; Hocking, Lynne J.; Hastie, Nicholas D.; Wright, Alan F.; Porteous, David J.; Visscher, Peter M.; Deary, Ian J.
2014-01-01
Education, socioeconomic status, and intelligence are commonly used as predictors of health outcomes, social environment, and mortality. Education and socioeconomic status are typically viewed as environmental variables although both correlate with intelligence, which has a substantial genetic basis. Using data from 6815 unrelated subjects from the Generation Scotland study, we examined the genetic contributions to these variables and their genetic correlations. Subjects underwent genome-wide testing for common single nucleotide polymorphisms (SNPs). DNA-derived heritability estimates and genetic correlations were calculated using the ‘Genome-wide Complex Trait Analyses’ (GCTA) procedures. 21% of the variation in education, 18% of the variation in socioeconomic status, and 29% of the variation in general cognitive ability was explained by variation in common SNPs (SEs ~ 5%). The SNP-based genetic correlations of education and socioeconomic status with general intelligence were 0.95 (SE 0.13) and 0.26 (0.16), respectively. There are genetic contributions to intelligence and education with near-complete overlap between common additive SNP effects on these traits (genetic correlation ~ 1). Genetic influences on socioeconomic status are also associated with the genetic foundations of intelligence. The results are also compatible with substantial environmental contributions to socioeconomic status. PMID:24944428
Morris, J A
1999-08-01
A model is proposed in which information from the environment is analysed by complex biological decision-making systems which are highly redundant. A correct response is intelligent behaviour which preserves health; incorrect responses lead to disease. Mutations in genes which code for the redundant systems will accumulate in the genome and impair decision-making. The number of mutant genes will depend upon a balance between the new mutation rate per generation and systems of elimination based on synergistic interaction in redundant systems. This leads to a polygenic pattern of inheritance for intelligence and the common diseases. The model also gives a simple explanation for some of the hitherto puzzling aspects of work on the genetic basis of intelligence including the recorded rise in IQ this century. There is a prediction that health, intelligence and socio-economic position will be correlated generating a health differential in the social hierarchy. Furthermore, highly competitive societies will place those least able to cope in the harshest environment and this will impair health overall. The model points to a need for population monitoring of somatic mutation in order to preserve the health and intelligence of future generations.
Molecular genetic contributions to socioeconomic status and intelligence.
Marioni, Riccardo E; Davies, Gail; Hayward, Caroline; Liewald, Dave; Kerr, Shona M; Campbell, Archie; Luciano, Michelle; Smith, Blair H; Padmanabhan, Sandosh; Hocking, Lynne J; Hastie, Nicholas D; Wright, Alan F; Porteous, David J; Visscher, Peter M; Deary, Ian J
2014-05-01
Education, socioeconomic status, and intelligence are commonly used as predictors of health outcomes, social environment, and mortality. Education and socioeconomic status are typically viewed as environmental variables although both correlate with intelligence, which has a substantial genetic basis. Using data from 6815 unrelated subjects from the Generation Scotland study, we examined the genetic contributions to these variables and their genetic correlations. Subjects underwent genome-wide testing for common single nucleotide polymorphisms (SNPs). DNA-derived heritability estimates and genetic correlations were calculated using the 'Genome-wide Complex Trait Analyses' (GCTA) procedures. 21% of the variation in education, 18% of the variation in socioeconomic status, and 29% of the variation in general cognitive ability was explained by variation in common SNPs (SEs ~ 5%). The SNP-based genetic correlations of education and socioeconomic status with general intelligence were 0.95 (SE 0.13) and 0.26 (0.16), respectively. There are genetic contributions to intelligence and education with near-complete overlap between common additive SNP effects on these traits (genetic correlation ~ 1). Genetic influences on socioeconomic status are also associated with the genetic foundations of intelligence. The results are also compatible with substantial environmental contributions to socioeconomic status.
Emotional intelligence skills for maintaining social networks in healthcare organizations.
Freshman, Brenda; Rubino, Louis
2004-01-01
For healthcare organizations to survive in these increasingly challenging times, leadership and management must face mounting interpersonal concerns. The authors present the boundaries of internal and external social networks with respect to leadership and managerial functions: Social networks within the organization are stretched by reductions in available resources and structural ambiguity, whereas external social networks are stressed by interorganizational competitive pressures. The authors present the development of emotional intelligence skills in employees as a strategic training objective that can strengthen the internal and external social networks of healthcare organizations. The authors delineate the unique functions of leadership and management with respect to the application of emotional intelligence skills and discuss training and future research implications for emotional intelligence skill sets and social networks.
The coevolution of innovation and technical intelligence in primates.
Navarrete, Ana F; Reader, Simon M; Street, Sally E; Whalen, Andrew; Laland, Kevin N
2016-03-19
In birds and primates, the frequency of behavioural innovation has been shown to covary with absolute and relative brain size, leading to the suggestion that large brains allow animals to innovate, and/or that selection for innovativeness, together with social learning, may have driven brain enlargement. We examined the relationship between primate brain size and both technical (i.e. tool using) and non-technical innovation, deploying a combination of phylogenetically informed regression and exploratory causal graph analyses. Regression analyses revealed that absolute and relative brain size correlated positively with technical innovation, and exhibited consistently weaker, but still positive, relationships with non-technical innovation. These findings mirror similar results in birds. Our exploratory causal graph analyses suggested that technical innovation shares strong direct relationships with brain size, body size, social learning rate and social group size, whereas non-technical innovation did not exhibit a direct relationship with brain size. Nonetheless, non-technical innovation was linked to brain size indirectly via diet and life-history variables. Our findings support 'technical intelligence' hypotheses in linking technical innovation to encephalization in the restricted set of primate lineages where technical innovation has been reported. Our findings also provide support for a broad co-evolving complex of brain, behaviour, life-history, social and dietary variables, providing secondary support for social and ecological intelligence hypotheses. The ability to gain access to difficult-to-extract, but potentially nutrient-rich, resources through tool use may have conferred on some primates adaptive advantages, leading to selection for brain circuitry that underlies technical proficiency. © 2016 The Author(s).
Keyvanara, Mahmoud; Yarmohammadian, Mohammad Hossein; Soltani, Batoul
2014-01-01
Introduction: Cultural intelligence and social compatibility are two acquired processes that their education and reinforcement between dormitory's students who have inter cultural interactions with each other can conclude with results that tension diminution, inter cultural contrast and conflict, social divisions and consequently healthy and peaceful relationships and governance and finally mental peace, and health are of its most important. Hence, the research has been occurring in order to the determination of cultural intelligence relationship with the social compatibility of Isfahan University of Medical Sciences dormitories resident students in 2012. Materials and Methods: The research method is descriptive-correlation, and its population is composed of all Isfahan University of Medical Sciences dormitories resident students in 2012 that were totally 2500 persons. The two steps sampling method have been used, group sampling and random sampling has been occurring at first and second steps and totally 447 persons were selected. Research data were collected via Earley and Ang cultural intelligence questionnaire with 0.76 Cronbach's alpha Coefficient and California social compatibility standard questionnaire with higher than 0.70 Cronbach's alpha factor. Questionnaire data have been analyzed with the SPSS software and results have been presented in the shape of descriptions and statistics. Findings: Results showed that there is a direct significant relationship (P < 0.001) between cultural intelligence and the social adjustment in students living in Isfahan University of Medical Sciences dormitories and also there is a direct significant relationship in the level of (P < 0.05) between cognitive and motivational dimensions of cultural intelligence; however, there is no significant relationship between cognitive and behavioral dimensions of cultural intelligence and social adjustment (P > 0.05). Conclusion: Cultural intelligence and cognitive and motivational addition in dimensions of students living in Isfahan University of Medical Sciences dormitories increase their social integration, therefore, cultural intelligence and social adjustment of students can be increased through planning and we can try for their mental health by this way. PMID:25250366
Lions (Panthera leo) solve, learn, and remember a novel resource acquisition problem.
Borrego, Natalia; Dowling, Brian
2016-09-01
The social intelligence hypothesis proposes that the challenges of complex social life bolster the evolution of intelligence, and accordingly, advanced cognition has convergently evolved in several social lineages. Lions (Panthera leo) offer an ideal model system for cognitive research in a highly social species with an egalitarian social structure. We investigated cognition in lions using a novel resource task: the suspended puzzle box. The task required lions (n = 12) to solve a novel problem, learn the techniques used to solve the problem, and remember techniques for use in future trials. The majority of lions demonstrated novel problem-solving and learning; lions (11/12) solved the task, repeated success in multiple trials, and significantly reduced the latency to success across trials. Lions also demonstrated cognitive abilities associated with memory and solved the task after up to a 7-month testing interval. We also observed limited evidence for social facilitation of the task solution. Four of five initially unsuccessful lions achieved success after being partnered with a successful lion. Overall, our results support the presence of cognition associated with novel problem-solving, learning, and memory in lions. To date, our study is only the second experimental investigation of cognition in lions and further supports expanding cognitive research to lions.
Sense-making for intelligence analysis on social media data
NASA Astrophysics Data System (ADS)
Pritzkau, Albert
2016-05-01
Social networks, in particular online social networks as a subset, enable the analysis of social relationships which are represented by interaction, collaboration, or other sorts of influence between people. Any set of people and their internal social relationships can be modelled as a general social graph. These relationships are formed by exchanging emails, making phone calls, or carrying out a range of other activities that build up the network. This paper presents an overview of current approaches to utilizing social media as a ubiquitous sensor network in the context of national and global security. Exploitation of social media is usually an interdisciplinary endeavour, in which the relevant technologies and methods are identified and linked in order ultimately demonstrate selected applications. Effective and efficient intelligence is usually accomplished in a combined human and computer effort. Indeed, the intelligence process heavily depends on combining a human's flexibility, creativity, and cognitive ability with the bandwidth and processing power of today's computers. To improve the usability and accuracy of the intelligence analysis we will have to rely on data-processing tools at the level of natural language. Especially the collection and transformation of unstructured data into actionable, structured data requires scalable computational algorithms ranging from Artificial Intelligence, via Machine Learning, to Natural Language Processing (NLP). To support intelligence analysis on social media data, social media analytics is concerned with developing and evaluating computational tools and frameworks to collect, monitor, analyze, summarize, and visualize social media data. Analytics methods are employed to extract of significant patterns that might not be obvious. As a result, different data representations rendering distinct aspects of content and interactions serve as a means to adapt the focus of the intelligence analysis to specific information requests.
Social learning and evolution: the cultural intelligence hypothesis
van Schaik, Carel P.; Burkart, Judith M.
2011-01-01
If social learning is more efficient than independent individual exploration, animals should learn vital cultural skills exclusively, and routine skills faster, through social learning, provided they actually use social learning preferentially. Animals with opportunities for social learning indeed do so. Moreover, more frequent opportunities for social learning should boost an individual's repertoire of learned skills. This prediction is confirmed by comparisons among wild great ape populations and by social deprivation and enculturation experiments. These findings shaped the cultural intelligence hypothesis, which complements the traditional benefit hypotheses for the evolution of intelligence by specifying the conditions in which these benefits can be reaped. The evolutionary version of the hypothesis argues that species with frequent opportunities for social learning should more readily respond to selection for a greater number of learned skills. Because improved social learning also improves asocial learning, the hypothesis predicts a positive interspecific correlation between social-learning performance and individual learning ability. Variation among primates supports this prediction. The hypothesis also predicts that more heavily cultural species should be more intelligent. Preliminary tests involving birds and mammals support this prediction too. The cultural intelligence hypothesis can also account for the unusual cognitive abilities of humans, as well as our unique mechanisms of skill transfer. PMID:21357223
Social learning and evolution: the cultural intelligence hypothesis.
van Schaik, Carel P; Burkart, Judith M
2011-04-12
If social learning is more efficient than independent individual exploration, animals should learn vital cultural skills exclusively, and routine skills faster, through social learning, provided they actually use social learning preferentially. Animals with opportunities for social learning indeed do so. Moreover, more frequent opportunities for social learning should boost an individual's repertoire of learned skills. This prediction is confirmed by comparisons among wild great ape populations and by social deprivation and enculturation experiments. These findings shaped the cultural intelligence hypothesis, which complements the traditional benefit hypotheses for the evolution of intelligence by specifying the conditions in which these benefits can be reaped. The evolutionary version of the hypothesis argues that species with frequent opportunities for social learning should more readily respond to selection for a greater number of learned skills. Because improved social learning also improves asocial learning, the hypothesis predicts a positive interspecific correlation between social-learning performance and individual learning ability. Variation among primates supports this prediction. The hypothesis also predicts that more heavily cultural species should be more intelligent. Preliminary tests involving birds and mammals support this prediction too. The cultural intelligence hypothesis can also account for the unusual cognitive abilities of humans, as well as our unique mechanisms of skill transfer.
List of U.S. Army Research Institute Research and Technical Publications. Fiscal Year 2006
2007-08-01
performance support systems and computer-generated simulations powered by artificial intelligence , and super-broad bandwidth. We then present a set of...dialogue, Artificial Intelligence SBIR Phase I Report 61 FY 2006 Books and Book Chapters Durlach, P.J., Neuman, J.L., & Bowens, L.D...mediation of the social intelligence -social performance relationship by social knowledge, was supported for three out of five social performance
Krech, M; Probst, P
1998-10-01
The paper is concerned with personal theories of health care professionals about deficiencies in social intelligence of autistic persons. In the component-model of social intelligence means the ability of individuals or groups, to interact with each other in social situations. This contains social perception, social behavior as well as social conceptions and refers to emotional, cognitive and normative aspects. 33 interviewees, working as psychologists or teachers in kindergartens, schools or therapy institutions, are questioned by a half-standardized single interview concerning their beliefs about nonverbal social abilities, social perspective taking, and construction of a theory of mind in autistic persons. The major finding is: The impairments can be found in all aspects of social intelligence. Especially emotional handicaps, which are quoted by more than 80% of the interviewees, and low cognitive preconditions of mastering social stimuli, which are quoted by nearly all interviewees, are relevant. The subjective theories of the interviewees are in accordance to the models of parents as well as the models of the leading experts. The professional relationship to autistic persons and the practical experiences of the health care professionals lead to their specific personal theories of deficiencies in social intelligence of autistic people with wide consequences in respect to the professional contact with the autistic children and young adults.
Relationship between Social Networks Adoption and Social Intelligence
ERIC Educational Resources Information Center
Gunduz, Semseddin
2017-01-01
The purpose of this study was to set forth the relationship between the individuals' states to adopt social networks and social intelligence and analyze both concepts according to various variables. Research data were collected from 1145 social network users in the online media by using the Adoption of Social Network Scale and Social Intelligence…
Degree of proximity in the construction of social representations: the case of intelligence.
Miguel, Isabel; Valentim, Joaquim Pires; Carugati, Felice
2012-11-01
The present article is devoted to the empirical endeavor of studying the effect of the degree of proximity, defined by specific socio-educational insertions, on the organization of social representations of intelligence. A questionnaire was answered by a sample of 752 participants belonging to five different social categories with different degrees of proximity and knowledge about intelligence: mothers, fathers, mother-teachers and non-parent students (psychology and science students). The questionnaire included different topics, namely concerning the concept of intelligence, its development and the effectiveness of teaching procedures. Results show that the principles organizing the contents of representations are linked to the personal involvement in intelligence, on which subjects more or less implied take different positions. Results produced suggest, therefore, that the content of representations is directly linked to the activation of social roles and the salience of the object, reflecting the functional character that the organization of representations has to specific social dynamics.
Carreras, M R; Braza, P; Muñoz, J M; Braza, F; Azurmendi, A; Pascual-Sagastizabal, E; Cardas, J; Sánchez-Martín, J R
2014-08-01
This study proposes a model in which aggressive and prosocial behaviors exhibited in social conflicts mediate the influence of empathy and social intelligence to children's social preference by same-sex peers. Data were obtained from kindergarten to the end of the first grade. The sample yielded 117 Spanish children (64 girls and 53 boys) with a mean age of 62.8 months (SD = 3.3) at the beginning of the study. For boys, affective empathy contributed to boys' social preference through a decrease in physical aggression as responses to social conflict. For girls, affective empathy had an indirect effect on girls' preference by increasing assistance to others in their conflicts. No mediating effect in the contribution of social intelligence on girls' social preference was detected. Our results suggest that, only for girls, cold social intelligence can promote both indirect aggression (coercive strategic that do not leave social preference, at least at these ages) and behaviors that lead social preference (such as prosocial behaviors). © 2014 Scandinavian Psychological Associations and John Wiley & Sons Ltd.
Ye, Jiawen; Yeung, Dannii Y; Liu, Elaine S C; Rochelle, Tina L
2018-04-03
Past research has often focused on the effects of emotional intelligence and received social support on subjective well-being yet paid limited attention to the effects of provided social support. This study adopted a longitudinal design to examine the sequential mediating effects of provided and received social support on the relationship between trait emotional intelligence and subjective happiness. A total of 214 Hong Kong Chinese undergraduates were asked to complete two assessments with a 6-month interval in between. The results of the sequential mediation analysis indicated that the trait emotional intelligence measured in Time 1 indirectly influenced the level of subjective happiness in Time 2 through a sequential pathway of social support provided for others in Time 1 and social support received from others in Time 2. These findings highlight the importance of trait emotional intelligence and the reciprocal exchanges of social support in the subjective well-being of university students. © 2018 International Union of Psychological Science.
Lager, Anton CJ; Modin, Bitte E; De Stavola, Bianca L; Vågerö, Denny H
2012-01-01
Background Intelligence at a single time-point has been linked to health outcomes. An individual's IQ increases with longer schooling, but the validity of such increase is unclear. In this study, we assess the hypothesis that individual change in the performance on IQ tests between ages 10 and 20 years is associated with mortality later in life. Methods The analyses are based on a cohort of Swedish boys born in 1928 (n = 610) for whom social background data were collected in 1937, IQ tests were carried out in 1938 and 1948 and own education and mortality were recorded up to 2006. Structural equation models were used to estimate the extent to which two latent intelligence scores, at ages 10 and 20 years, manifested by results on the IQ tests, are related to paternal and own education, and how all these variables are linked to all-cause mortality. Results Intelligence at the age of 20 years was associated with lower mortality in adulthood, after controlling for intelligence at the age of 10 years. The increases in intelligence partly mediated the link between longer schooling and lower mortality. Social background differences in adult intelligence (and consequently in mortality) were partly explained by the tendency for sons of more educated fathers to receive longer schooling, even when initial intelligence levels had been accounted for. Conclusions The results are consistent with a causal link from change in intelligence to mortality, and further, that schooling-induced changes in IQ scores are true and bring about lasting changes in intelligence. In addition, if both these interpretations are correct, social differences in access to longer schooling have consequences for social differences in both adult intelligence and adult health. PMID:22493324
Overcoming Intermediary Bias Through the Use of Social Media Intelligence
2015-05-23
PMESII-PT Politics, Military, Economy, Social, Information, Infrastructure, Physical Environment and Time. OSINT Open Source Intelligence...Intelligence (SOCMINT) is a sub-set of open source intelligence ( OSINT ). OSINT has existed for an extended period of time, but it is a relatively new...author determined that there are two 1 Walter R, Draeger, "Take Advantage of OSINT ," Military
Selden, Steven
2005-06-01
In the early 1920s, determinist conceptions of biology helped to transform Better Babies contest into Fitter Families competitions with a strong commitment to controlled human breeding. While the earlier competitions were concerned for physical and mental standards, the latter contests collected data on a broad range of presumed hereditary characters. The complex behaviors thought to be determined by one's heredity included being generous, jealous, and cruel. In today's context, the popular media often interpret advances in molecular genetics in a similarly reductive and determinist fashion. This paper argues that such a narrow interpretation of contemporary biology unnecessarily constrains the public in developing social policies concerning complex social behavior ranging from crime to intelligence.
Spatial Collective Intelligence? credibility, accuracy, and Volunteered Geographic Information
Spielman, Seth E.
2014-01-01
Collective intelligence is the idea that under the right circumstances collections of individuals are smarter than even the smartest individuals in the group (Suroweiki 2004), that is a group has an “intelligence” that is independent of the intelligence of its members. The ideology of collective intelligence undergirds much of the enthusiasm about the use of “volunteered” or crowdsourced geographic information. Literature from a variety of fields makes clear that not all groups possess collective intelligence, this paper identifies four pre-conditions for the emergence of collective intelligence and then examine the extent to which collectively generated mapping systems satisfy these conditions. However, the “intelligence” collectively generated maps is hard to assess because there are two difficult to reconcile perspectives on map quality- the credibility perspective and the accuracy perspective. Much of the current literature on user generated maps focuses on assessing the quality of individual contributions. However, because user generated maps are complex social systems and because the quality of a contribution is difficult to assess this strategy may not yield an “intelligent” end product. The existing literature on collective intelligence suggests that the structure of groups more important that the intelligence of group members. Applying this idea to user generated suggests that systems should be designed to foster conditions known to produce collective intelligence rather than privileging particular contributions/contributors. The paper concludes with some design recommendations and by considering the implications of collectively generated maps for both expert knowledge and traditional state sponsored mapping programs. PMID:25419184
The Social Embedding of Intelligence
NASA Astrophysics Data System (ADS)
Edmonds, Bruce
I claim that to pass the Turing Test over any period of extended time, it will be necessary to embed the entity into society. This chapter discusses why this is, and how it might be brought about. I start by arguing that intelligence is better characterized by tests of social interaction, especially in open-ended and extended situations. I then argue that learning is an essential component of intelligence and hence that a universal intelligence is impossible. These two arguments support the relevance of the Turing Test as a particular, but appropriate test of interactive intelligence. I look to the human case to argue that individual intelligence uses society to a considerable extent for its development. Taking a lead from the human case, I outline how a socially embedded Artificial Intelligence might be brought about in terms of four aspects: free will, emotion, empathy, and self-modeling. In each case, I try to specify what social 'hooks' might be required for the full ability to develop during a considerable period of in situ acculturation. The chapter ends by speculating what it might be like to live with the result.
Collective Intelligence Generation from User Contributed Content
NASA Astrophysics Data System (ADS)
Solachidis, Vassilios; Mylonas, Phivos; Geyer-Schulz, Andreas; Hoser, Bettina; Chapman, Sam; Ciravegna, Fabio; Lanfranchi, Vita; Scherp, Ansgar; Staab, Steffen; Contopoulos, Costis; Gkika, Ioanna; Bakaimis, Byron; Smrz, Pavel; Kompatsiaris, Yiannis; Avrithis, Yannis
In this paper we provide a foundation for a new generation of services and tools. We define new ways of capturing, sharing and reusing information and intelligence provided by single users and communities, as well as organizations by enabling the extraction, generation, interpretation and management of Collective Intelligence from user generated digital multimedia content. Different layers of intelligence are generated, which together constitute the notion of Collective Intelligence. The automatic generation of Collective Intelligence constitutes a departure from traditional methods for information sharing, since information from both the multimedia content and social aspects will be merged, while at the same time the social dynamics will be taken into account. In the context of this work, we present two case studies: an Emergency Response and a Consumers Social Group case study.
Entanglement-Gradient Routing for Quantum Networks.
Gyongyosi, Laszlo; Imre, Sandor
2017-10-27
We define the entanglement-gradient routing scheme for quantum repeater networks. The routing framework fuses the fundamentals of swarm intelligence and quantum Shannon theory. Swarm intelligence provides nature-inspired solutions for problem solving. Motivated by models of social insect behavior, the routing is performed using parallel threads to determine the shortest path via the entanglement gradient coefficient, which describes the feasibility of the entangled links and paths of the network. The routing metrics are derived from the characteristics of entanglement transmission and relevant measures of entanglement distribution in quantum networks. The method allows a moderate complexity decentralized routing in quantum repeater networks. The results can be applied in experimental quantum networking, future quantum Internet, and long-distance quantum communications.
Using Target Network Modelling to Increase Battlespace Agility
2013-06-01
Moffat, James. (2003) Complexity Theory and Network Centric Warfare. Washington DC: CCRP Moore, David T.. Sensemaking : A Structure for an Intelligence...Ted Hopf’s “Promise of Constructivism in International Relations Theory ” presented in International Security in 1998; and Adler 1998. 5 Look to...of warfighting within a doctrinal framework. Based on 10 years of research12 informed by social theory , experimentation, NATO doctrinal studies and
Next generation emotional intelligence (Abstract)
Jim Saveland
2012-01-01
Emotional intelligence has been a hot topic in leadership training since Dan Goleman published his book on the subject in 1995. Emotional intelligence competencies are typically focused on recognition and regulation of emotions in one's self and social situations, yielding four categories: self-awareness, self-management, social awareness and relationship...
Next generation Emotional Intelligence
J. Saveland
2012-01-01
Emotional Intelligence has been a hot topic in leadership training since Dan Goleman published his book on the subject in 1995. Emotional intelligence competencies are typically focused on recognition and regulation of emotions in one's self and social situations, yielding four categories: self-awareness, self-management, social awareness and relationship...
Artificial intelligence and the future.
Clocksin, William F
2003-08-15
We consider some of the ideas influencing current artificial-intelligence research and outline an alternative conceptual framework that gives priority to social relationships as a key component and constructor of intelligent behaviour. The framework starts from Weizenbaum's observation that intelligence manifests itself only relative to specific social and cultural contexts. This is in contrast to a prevailing view, which sees intelligence as an abstract capability of the individual mind based on a mechanism for rational thought. The new approach is not based on the conventional idea that the mind is a rational processor of symbolic information, nor does it require the idea that thought is a kind of abstract problem solving with a semantics that is independent of its embodiment. Instead, priority is given to affective and social responses that serve to engage the whole agent in the life of the communities in which it participates. Intelligence is seen not as the deployment of capabilities for problem solving, but as constructed by the continual, ever-changing and unfinished engagement with the social group within the environment. The construction of the identity of the intelligent agent involves the appropriation or 'taking up' of positions within the conversations and narratives in which it participates. Thus, the new approach argues that the intelligent agent is shaped by the meaning ascribed to experience, by its situation in the social matrix, and by practices of self and of relationship into which intelligent life is recruited. This has implications for the technology of the future, as, for example, classic artificial intelligence models such as goal-directed problem solving are seen as special cases of narrative practices instead of as ontological foundations.
Suliman, Wafika A
2010-06-01
Feelings or emotions and thinking have been identified as forces that may affect one's learning styles (D. A. Kolb, 1984), emotional social intelligence, and success (R. Bar-On, 2004). This study on the relationship between academic success and the two variables of learning abilities or styles and emotional social intelligence was conducted at two colleges of nursing in Saudi Arabia. Both offer conventional and accelerated undergraduate nursing education programs. This study was designed to explore the preferred learning abilities or styles of Saudi nursing students in conventional and accelerated programs, the difference in emotional social intelligence between the two, and the relationships between academic success and learning styles and emotional social intelligence. A convenience sample was recruited, consisting of a total of 98 students, 50 and 48 of whom were enrolled, respectively, in conventional and accelerated programs. Self-administered instruments including the Kolb learning style inventory and the Bar-On emotional quotient inventory (EQ-i) were used to collect data, which were analyzed quantitatively. Both groups were found to favor a diverger style of learning, with total EQ-i scores showing no statistical difference between the two (t = 1.251, p =.214). "Self-regard" and "problem solving" earned the highest EQ-i content subscale scores for both groups. Pearson's correlation coefficient showed no significant relationship between learning abilities or styles and emotional social intelligence and academic success. The findings suggest that either no actual relationship exists or that emotional social intelligence may be confounded with factors such as professional and cultural values.
Supporting tactical intelligence using collaborative environments and social networking
NASA Astrophysics Data System (ADS)
Wollocko, Arthur B.; Farry, Michael P.; Stark, Robert F.
2013-05-01
Modern military environments place an increased emphasis on the collection and analysis of intelligence at the tactical level. The deployment of analytical tools at the tactical level helps support the Warfighter's need for rapid collection, analysis, and dissemination of intelligence. However, given the lack of experience and staffing at the tactical level, most of the available intelligence is not exploited. Tactical environments are staffed by a new generation of intelligence analysts who are well-versed in modern collaboration environments and social networking. An opportunity exists to enhance tactical intelligence analysis by exploiting these personnel strengths, but is dependent on appropriately designed information sharing technologies. Existing social information sharing technologies enable users to publish information quickly, but do not unite or organize information in a manner that effectively supports intelligence analysis. In this paper, we present an alternative approach to structuring and supporting tactical intelligence analysis that combines the benefits of existing concepts, and provide detail on a prototype system embodying that approach. Since this approach employs familiar collaboration support concepts from social media, it enables new-generation analysts to identify the decision-relevant data scattered among databases and the mental models of other personnel, increasing the timeliness of collaborative analysis. Also, the approach enables analysts to collaborate visually to associate heterogeneous and uncertain data within the intelligence analysis process, increasing the robustness of collaborative analyses. Utilizing this familiar dynamic collaboration environment, we hope to achieve a significant reduction of time and skill required to glean actionable intelligence in these challenging operational environments.
Chinese Adolescents' Emotional Intelligence, Perceived Social Support, and Resilience
ERIC Educational Resources Information Center
Chen, Shitao
2017-01-01
The constructs of emotional intelligence, perceived social support and resilience have been primarily developed in a Western, individual-oriented societal context. The application of these constructs in Eastern cultures requires further investigation. The aim of the study was to examine the relationships among trait emotional intelligence,…
The Social Development of Human Intelligence.
ERIC Educational Resources Information Center
Eisenberg, Leon
Intelligence makes man unique. To date man's use of this intelligence has been deficient. The deficit lies in the one-sided development of his problem-solving capacity; that is, an enormous growth has occurred in technological capabilities without a corresponding gain in solutions to social problems. This deficit is particularly significant…
ERIC Educational Resources Information Center
Oke, Kayode
2015-01-01
This study was conducted to explain social relation based on psycho-social climate, psychological wellbeing components, and emotional intelligence among undergraduates of Olabisi Onabanjo University, Ogun State, Nigeria. The statistical population consisted of all undergraduates of Olabisi Onabanjo University. Participants were randomly selected…
Tschentscher, Nadja; Mitchell, Daniel; Duncan, John
2017-05-03
Fluid intelligence has been associated with a distributed cognitive control or multiple-demand (MD) network, comprising regions of lateral frontal, insular, dorsomedial frontal, and parietal cortex. Human fluid intelligence is also intimately linked to task complexity, and the process of solving complex problems in a sequence of simpler, more focused parts. Here, a complex target detection task included multiple independent rules, applied one at a time in successive task epochs. Although only one rule was applied at a time, increasing task complexity (i.e., the number of rules) impaired performance in participants of lower fluid intelligence. Accompanying this loss of performance was reduced response to rule-critical events across the distributed MD network. The results link fluid intelligence and MD function to a process of attentional focus on the successive parts of complex behavior. SIGNIFICANCE STATEMENT Fluid intelligence is intimately linked to the ability to structure complex problems in a sequence of simpler, more focused parts. We examine the basis for this link in the functions of a distributed frontoparietal or multiple-demand (MD) network. With increased task complexity, participants of lower fluid intelligence showed reduced responses to task-critical events. Reduced responses in the MD system were accompanied by impaired behavioral performance. Low fluid intelligence is linked to poor foregrounding of task-critical information across a distributed MD system. Copyright © 2017 Tschentscher et al.
Enhanced perceptual functioning in autism: an update, and eight principles of autistic perception.
Mottron, Laurent; Dawson, Michelle; Soulières, Isabelle; Hubert, Benedicte; Burack, Jake
2006-01-01
We propose an "Enhanced Perceptual Functioning" model encompassing the main differences between autistic and non-autistic social and non-social perceptual processing: locally oriented visual and auditory perception, enhanced low-level discrimination, use of a more posterior network in "complex" visual tasks, enhanced perception of first order static stimuli, diminished perception of complex movement, autonomy of low-level information processing toward higher-order operations, and differential relation between perception and general intelligence. Increased perceptual expertise may be implicated in the choice of special ability in savant autistics, and in the variability of apparent presentations within PDD (autism with and without typical speech, Asperger syndrome) in non-savant autistics. The overfunctioning of brain regions typically involved in primary perceptual functions may explain the autistic perceptual endophenotype.
Rushton, Paula W; Kairy, Dahlia; Archambault, Philippe; Pituch, Evelina; Torkia, Caryne; El Fathi, Anas; Stone, Paula; Routhier, François; Forget, Robert; Pineau, Joelle; Gourdeau, Richard; Demers, Louise
2015-05-01
To explore power wheelchair users', caregivers' and clinicians' perspectives regarding the potential impact of intelligent power wheelchair use on social participation. Semi-structured interviews were conducted with power wheelchair users (n = 12), caregivers (n = 4) and clinicians (n = 12). An illustrative video was used to facilitate discussion. The transcribed interviews were analyzed using thematic analysis. Three main themes were identified based on the experiences of the power wheelchair users, caregivers and clinicians: (1) increased social participation opportunities, (2) changing how social participation is experienced and (3) decreased risk of accidents during social participation. Findings from this study suggest that an intelligent power wheelchair would enhance social participation in a variety of important ways, thereby providing support for continued design and development of this assistive technology. An intelligent power wheelchair has the potential to: Increase social participation opportunities by overcoming challenges associated with navigating through crowds and small spaces. Change how social participation is experienced through "normalizing" social interactions and decreasing the effort required to drive a power wheelchair. Decrease the risk of accidents during social participation by reducing the need for dangerous compensatory strategies and minimizing the impact of the physical environment.
An arms race between producers and scroungers can drive the evolution of social cognition
2014-01-01
The “social intelligence hypothesis” states that the need to cope with complexities of social life has driven the evolution of advanced cognitive abilities. It is usually invoked in the context of challenges arising from complex intragroup structures, hierarchies, and alliances. However, a fundamental aspect of group living remains largely unexplored as a driving force in cognitive evolution: the competition between individuals searching for resources (producers) and conspecifics that parasitize their findings (scroungers). In populations of social foragers, abilities that enable scroungers to steal by outsmarting producers, and those allowing producers to prevent theft by outsmarting scroungers, are likely to be beneficial and may fuel a cognitive arms race. Using analytical theory and agent-based simulations, we present a general model for such a race that is driven by the producer–scrounger game and show that the race’s plausibility is dramatically affected by the nature of the evolving abilities. If scrounging and scrounging avoidance rely on separate, strategy-specific cognitive abilities, arms races are short-lived and have a limited effect on cognition. However, general cognitive abilities that facilitate both scrounging and scrounging avoidance undergo stable, long-lasting arms races. Thus, ubiquitous foraging interactions may lead to the evolution of general cognitive abilities in social animals, without the requirement of complex intragroup structures. PMID:24822021
Skakkebæk, Anne; Moore, Philip J; Pedersen, Anders Degn; Bojesen, Anders; Kristensen, Maria Krarup; Fedder, Jens; Laurberg, Peter; Hertz, Jens Michael; Østergaard, John Rosendahl; Wallentin, Mikkel; Gravholt, Claus Højbjerg
2017-03-01
The determinants of cognitive deficits among individuals with Klinefelter syndrome (KS) are not well understood. This study was conducted to assess the impact of general intelligence, personality, and social engagement on cognitive performance among patients with KS and a group of controls matched for age and years of education. Sixty-nine patients with KS and 69 controls were assessed in terms of IQ, NEO personality inventory, the Autism Spectrum Quotient (AQ) scale, and measures of cognitive performance reflecting working memory and executive function. Patients with KS performed more poorly on memory and executive-function tasks. Patients with KS also exhibited greater neuroticism and less extraversion, openness, and conscientiousness than controls. Memory deficits among patients with KS were associated with lower intelligence, while diminished executive functioning was mediated by both lower intelligence and less social engagement. Our results suggest that among patients with KS, memory deficits are principally a function of lower general intelligence, while executive-function deficits are associated with both lower intelligence and poorer social skills. This suggests a potential influence of social engagement on executive cognitive functioning (and/or vice-versa) among individuals with KS, and perhaps those with other genetic disorders. Future longitudinal research would be important to further clarify this and other issues discussed in this research.
ERIC Educational Resources Information Center
Brown, Katherine Marie
2013-01-01
This study examined the relationships between a social-emotional learning program and the 5 dimensions of emotional intelligence and whether the relationships were moderated by gender. The problem addressed in the study was the lack of research focused on the development of emotional intelligence at the middle school level. The participants…
ERIC Educational Resources Information Center
Horne, Dana Meredith
2017-01-01
Emotional intelligence has been defined as "the ability to recognize the meanings of emotions and their relationships, and to reason and problem-solve on the basis of them" (Mayer, Caruso, & Salovey, 1999, p. 267). Despite the relevance of emotional intelligence to social work education, limited research has focused on the assessment…
Planning and Scheduling of Software Manufacturing Projects
1991-03-01
based on the previous results in social analysis of computing, operations research in manufacturing, artificial intelligence in manufacturing...planning and scheduling, and the traditional approaches to planning in artificial intelligence, and extends the techniques that have been developed by them...social analysis of computing, operations research in manufacturing, artificial intelligence in manufacturing planning and scheduling, and the
ERIC Educational Resources Information Center
Kamin, Leon J.
1975-01-01
Traces social, cultural, economic, and political history shaping intelligence testing with respect to an inheritable intelligence level to conclude that interpretation of IQ has always been in a social and political context. (DW)
The evolution of primate general and cultural intelligence
Reader, Simon M.; Hager, Yfke; Laland, Kevin N.
2011-01-01
There are consistent individual differences in human intelligence, attributable to a single ‘general intelligence’ factor, g. The evolutionary basis of g and its links to social learning and culture remain controversial. Conflicting hypotheses regard primate cognition as divided into specialized, independently evolving modules versus a single general process. To assess how processes underlying culture relate to one another and other cognitive capacities, we compiled ecologically relevant cognitive measures from multiple domains, namely reported incidences of behavioural innovation, social learning, tool use, extractive foraging and tactical deception, in 62 primate species. All exhibited strong positive associations in principal component and factor analyses, after statistically controlling for multiple potential confounds. This highly correlated composite of cognitive traits suggests social, technical and ecological abilities have coevolved in primates, indicative of an across-species general intelligence that includes elements of cultural intelligence. Our composite species-level measure of general intelligence, ‘primate gS’, covaried with both brain volume and captive learning performance measures. Our findings question the independence of cognitive traits and do not support ‘massive modularity’ in primate cognition, nor an exclusively social model of primate intelligence. High general intelligence has independently evolved at least four times, with convergent evolution in capuchins, baboons, macaques and great apes. PMID:21357224
Li, Norman P; Kanazawa, Satoshi
2016-11-01
We propose the savanna theory of happiness, which suggests that it is not only the current consequences of a given situation but also its ancestral consequences that affect individuals' life satisfaction and explains why such influences of ancestral consequences might interact with intelligence. We choose two varied factors that characterize basic differences between ancestral and modern life - population density and frequency of socialization with friends - as empirical test cases. As predicted by the theory, population density is negatively, and frequency of socialization with friends is positively, associated with life satisfaction. More importantly, the main associations of life satisfaction with population density and socialization with friends significantly interact with intelligence, and, in the latter case, the main association is reversed among the extremely intelligent. More intelligent individuals experience lower life satisfaction with more frequent socialization with friends. This study highlights the utility of incorporating evolutionary perspectives in the study of subjective well-being. © 2016 The British Psychological Society.
Kornreich, Charles; Delle-Vigne, Dyna; Knittel, Julian; Nerincx, Aurore; Campanella, Salvatore; Noel, Xavier; Hanak, Catherine; Verbanck, Paul; Ermer, Elsa
2011-05-01
To study the 'social brain' in alcoholics by investigating social contract reasoning, theory of mind and emotional intelligence. A behavioral study comparing recently detoxified alcoholics with normal, healthy controls. Emotional intelligence and decoding of emotional non-verbal cues have been shown to be impaired in alcoholics. This study explores whether these deficits extend to conditional reasoning about social contracts. Twenty-five recently detoxified alcoholics (17 men and eight women) were compared with 25 normal controls (17 men and eight women) matched for sex, age and education level. Wason selection task investigating conditional reasoning on three different rule types (social contract, precautionary and descriptive), revised Reading the Mind in the Eyes Test, Trait Emotional Intelligence Questionnaire (modified version) and additional control measures. Conditional reasoning was impaired in alcoholics. Performance on descriptive rules was not above chance. Reasoning performance was markedly better on social contract and precautionary rules, but this performance was still significantly lower than in controls. Several emotional intelligence measures were lower in alcoholics compared to controls, but these were not correlated with reasoning performance. Conditional reasoning, including reasoning about social contracts and emotional intelligence appear to be impaired in alcoholics. Impairment seems to be particularly severe on descriptive rules. Impairment in social contract reasoning might lead to misunderstandings and frustration in social interactions, and reasoning difficulties about precautionary rules might contribute to risky behaviors in this population. © 2011 The Authors, Addiction © 2011 Society for the Study of Addiction.
Poonamallee, Latha; Harrington, Alex M.; Nagpal, Manisha; Musial, Alec
2018-01-01
Emotional intelligence is established to predict success in leadership effectiveness in various contexts and has been linked to personality factors. This paper introduces Dharma Life Program, a novel approach to improving emotional intelligence by targeting maladaptive personality traits and triggering neuroplasticity through the use of a smart-phone application and mentoring. The program uses neuroplasticity to enable users to create a more adaptive application of their maladaptive traits, thus improving their emotional intelligence. In this study 26 participants underwent the Dharma Life Program in a leadership development setting. We assessed their emotional and social intelligence before and after the Dharma Life Program intervention using the Emotional and Social Competency Inventory (ESCI). The study found a significant improvement in the lowest three competencies and a significant improvement in almost all domains for the entire sample. Our findings suggest that the completion of the Dharma Life Program has a significant positive effect on Emotional and Social Competency scores and offers a new avenue for improving emotional intelligence competencies. PMID:29527182
Poonamallee, Latha; Harrington, Alex M; Nagpal, Manisha; Musial, Alec
2018-01-01
Emotional intelligence is established to predict success in leadership effectiveness in various contexts and has been linked to personality factors. This paper introduces Dharma Life Program, a novel approach to improving emotional intelligence by targeting maladaptive personality traits and triggering neuroplasticity through the use of a smart-phone application and mentoring. The program uses neuroplasticity to enable users to create a more adaptive application of their maladaptive traits, thus improving their emotional intelligence. In this study 26 participants underwent the Dharma Life Program in a leadership development setting. We assessed their emotional and social intelligence before and after the Dharma Life Program intervention using the Emotional and Social Competency Inventory (ESCI). The study found a significant improvement in the lowest three competencies and a significant improvement in almost all domains for the entire sample. Our findings suggest that the completion of the Dharma Life Program has a significant positive effect on Emotional and Social Competency scores and offers a new avenue for improving emotional intelligence competencies.
Can We Learn to Treat One Another Better? A Test of a Social Intelligence Curriculum
Gallardo, Carmen Ecija; Velasco, Lilian
2015-01-01
This paper reports on the first test of the value of an online curriculum in social intelligence (SI). Built from current social and cognitive neuroscience research findings, the 50 session SI program was administered, with facilitation in Spanish by classroom instructors, to 207 students from Universidad Rey Juan Carlos in Madrid as part of their undergraduate classes. All materials were translated into Castilian Spanish, including outcome measures of SI that have been used in prior studies to provide valid estimates of two key components of social intelligence: 1) Sensitivity to others and 2) confidence in one’s capacity to manage social situations. Pre- and Posttest were administered to participants in the SI training, and also to 87 students in similar classes who did not receive the program who served as the control group. Gender and emotional intelligence levels at pretest also were examined as potential individual differences that might affect the impact of the program on study outcomes. Repeated measures ANOVAs on study outcomes revealed significant increases, from pre to post, in most measures of social intelligence for program participants in comparison to controls, with no effects of gender or age on program effectiveness. Prior scores on emotional intelligence were not a prerequisite for learning from the program. Some findings suggest ways the program may be improved to have stronger effects. Nonetheless, the findings indicate that the SI program tested here shows considerable promise as a means to increase the willingness of young adults to take the perspective of others and enhance their efficacy for initiating and sustaining positive social connections. PMID:26076133
EXODUS: Integrating intelligent systems for launch operations support
NASA Technical Reports Server (NTRS)
Adler, Richard M.; Cottman, Bruce H.
1991-01-01
Kennedy Space Center (KSC) is developing knowledge-based systems to automate critical operations functions for the space shuttle fleet. Intelligent systems will monitor vehicle and ground support subsystems for anomalies, assist in isolating and managing faults, and plan and schedule shuttle operations activities. These applications are being developed independently of one another, using different representation schemes, reasoning and control models, and hardware platforms. KSC has recently initiated the EXODUS project to integrate these stand alone applications into a unified, coordinated intelligent operations support system. EXODUS will be constructed using SOCIAL, a tool for developing distributed intelligent systems. EXODUS, SOCIAL, and initial prototyping efforts using SOCIAL to integrate and coordinate selected EXODUS applications are described.
Crowd Sensing-Enabling Security Service Recommendation for Social Fog Computing Systems
Wu, Jun; Su, Zhou; Li, Jianhua
2017-01-01
Fog computing, shifting intelligence and resources from the remote cloud to edge networks, has the potential of providing low-latency for the communication from sensing data sources to users. For the objects from the Internet of Things (IoT) to the cloud, it is a new trend that the objects establish social-like relationships with each other, which efficiently brings the benefits of developed sociality to a complex environment. As fog service become more sophisticated, it will become more convenient for fog users to share their own services, resources, and data via social networks. Meanwhile, the efficient social organization can enable more flexible, secure, and collaborative networking. Aforementioned advantages make the social network a potential architecture for fog computing systems. In this paper, we design an architecture for social fog computing, in which the services of fog are provisioned based on “friend” relationships. To the best of our knowledge, this is the first attempt at an organized fog computing system-based social model. Meanwhile, social networking enhances the complexity and security risks of fog computing services, creating difficulties of security service recommendations in social fog computing. To address this, we propose a novel crowd sensing-enabling security service provisioning method to recommend security services accurately in social fog computing systems. Simulation results show the feasibilities and efficiency of the crowd sensing-enabling security service recommendation method for social fog computing systems. PMID:28758943
Crowd Sensing-Enabling Security Service Recommendation for Social Fog Computing Systems.
Wu, Jun; Su, Zhou; Wang, Shen; Li, Jianhua
2017-07-30
Fog computing, shifting intelligence and resources from the remote cloud to edge networks, has the potential of providing low-latency for the communication from sensing data sources to users. For the objects from the Internet of Things (IoT) to the cloud, it is a new trend that the objects establish social-like relationships with each other, which efficiently brings the benefits of developed sociality to a complex environment. As fog service become more sophisticated, it will become more convenient for fog users to share their own services, resources, and data via social networks. Meanwhile, the efficient social organization can enable more flexible, secure, and collaborative networking. Aforementioned advantages make the social network a potential architecture for fog computing systems. In this paper, we design an architecture for social fog computing, in which the services of fog are provisioned based on "friend" relationships. To the best of our knowledge, this is the first attempt at an organized fog computing system-based social model. Meanwhile, social networking enhances the complexity and security risks of fog computing services, creating difficulties of security service recommendations in social fog computing. To address this, we propose a novel crowd sensing-enabling security service provisioning method to recommend security services accurately in social fog computing systems. Simulation results show the feasibilities and efficiency of the crowd sensing-enabling security service recommendation method for social fog computing systems.
Teaching reproductive options through the use of fiction: the Cider House Rules project.
Engstrom, Janet L; Hunter, Ramona G
2007-01-01
Alternative teaching strategies such as storytelling and the critical reading of literature are thought to help students develop their critical thinking, emotional intelligence, and cultural sensitivity and thereby better understand the context in which their patients live and make decisions. Such teaching methods are ideally suited for examining morally complex issues such as reproductive options. This article describes an alternative approach to teaching the complex personal, social, and moral issues surrounding the topic of reproductive options. The critical reading of the book, The Cider House Rules, provides a unique opportunity for students to obtain insight and understanding of the complex circumstances under which women and their families make reproductive decisions.
Intelligent Design and the Creationism/Evolution Controversy
NASA Astrophysics Data System (ADS)
Scott, E. C.
2004-12-01
"Intelligent Design" (ID) is a new form of creationism that emerged after legal decisions in the 1980s hampered the inclusion of "creation science" in the public school curriculum. To avoid legal challenge, proponents claim agnosticism regarding the identity of the intelligent agent, which could be material (such as highly intelligent terrestrials) or transcendental (God). ID consists of a scientific/scholarly effort, and a politico-religious movement of "cultural renewal." Intelligent design is supposedly detectable through the application of Michael Behe's "irreducible complexity" concept and/or William Dembski's concept of "complex specified information". ID's claims amount to, first, that "Darwinism" (vaguely defined) is incapable of providing an adequate mechanism for evolution, and second (subsequently), that evolution did not occur. Although scientific ideas not infrequently are slow to be accepted, in the 20 years since ID appeared, there is no evidence of it being used to solve problems in biology. Even if the scientific/scholarly part of ID has been a failure, the "cultural renewal" part of ID has been a success. This social and political aspect of ID seeks "restoration" of a theistic sensibility in American culture to replace what supporters consider an overemphasis on secularism. In the last few years, in several states, legislators have introduced legislation promoting ID (to date, unsuccessfully) and an addendum to the 2001 federal education bill conference committee report (the "Santorum amendment") is being used to promote the teaching of ID in public schools. Perhaps because ID has no actual content other than antievolutionism, ID proponents contend that pre-college teachers should teach wweaknesses of evolutionw or "evidence against evolutionw - largely warmed-over arguments from creation science - even though professional scientists do not recognize these as valid scientific claims.
ERIC Educational Resources Information Center
Babaei, Bahare; Abdi, Ali
2014-01-01
The aim of this study is to analyze the content of social studies and natural sciences textbooks of the secondary school on the basis of the emotional intelligence components. In order to determine and inspect the emotional intelligence components all of the textbooks content (including texts, exercises, and illustrations) was examined based on…
ERIC Educational Resources Information Center
Clemmer Hickman, Akweta Eschella Jureia
2017-01-01
For this study Bar-On's (1997) definition of emotional intelligence (EI) was used. "Emotional Intelligence" is defined as a set of emotional and social skills that influence the way we perceive and express ourselves, develop and maintain social relationships, cope with challenges, and use emotional information in an effective and…
ERIC Educational Resources Information Center
Kniveton, Bromley H.
1987-01-01
Investigates the effects on young male students of differing social backgrounds and varying levels of intelligence, of seeing a peer misbehave. Notes that working class boys imitated the misbehaving model significantly more than middle-class boys. Level of intelligence was not found to relate to the amount a student imitated a misbehaving peer.…
Wallenius, Marjut; Punamäki, Raija-Leena; Rimpelä, Arja
2007-04-01
The roles of age, social intelligence and parent-child communication in moderating the association between digital game playing and direct and indirect aggression were examined in 478 Finnish 10- and 13-year-old schoolchildren based on self-reports. The results confirmed that digital game violence was directly associated with direct aggression, especially at age 10, but only among boys. The moderating role of social intelligence was substantiated among older boys: game violence was associated with indirect aggression among those with high level of social intelligence. Further, as hypothesized, digital game playing was associated with direct aggression especially when parent-child communication was poor, but only among boys. Our findings emphasize the importance of individual and situational factors as moderators of the link between game violence and aggression.
Maternal intelligence-mental health and child neuropsychological development at age 14 months.
Forns, Joan; Julvez, Jordi; García-Esteban, Raquel; Guxens, Mònica; Ferrer, Muriel; Grellier, James; Vrijheid, Martine; Sunyer, Jordi
2012-01-01
To examine the relationship between maternal intelligence-mental health and neuropsychological development at age 14 months in a normal population, taking into account maternal occupational social class and education. We prospectively studied a population-based birth cohort, which forms part of the INMA (Environment and Childhood) Project. Cognitive and psychomotor development was assessed at 14 months using Bayley Scales of Infant Development. Maternal intelligence and mental health were assessed by the Cattell and Cattell test and the General Health Questionnaire-12 respectively. We observed a crude association between maternal intelligence and cognitive development in children at 14 months but this association disappeared when maternal education was included. The associations were stratified by maternal education and occupational social class. Within the manual maternal occupational social class, there was a significant difference in cognitive development between children whose mothers scored in the highest tertile of maternal IQ and those whose mothers scored in the lowest tertile. In contrast, no differences were observed among children whose mothers were in the non-manual occupational social class. The association between maternal intelligence and child cognitive development differed by occupational social class. While this association was not confounded by education or other variables in manual occupational social classes, maternal education explained this association among advantaged occupational social classes. Copyright © 2011 SESPAS. Published by Elsevier Espana. All rights reserved.
Snowden, Austyn; Watson, Roger; Stenhouse, Rosie; Hale, Claire
2015-12-01
To examine the construct validity of the Trait Emotional Intelligence Questionnaire Short form. Emotional intelligence involves the identification and regulation of our own emotions and the emotions of others. It is therefore a potentially useful construct in the investigation of recruitment and retention in nursing and many questionnaires have been constructed to measure it. Secondary analysis of existing dataset of responses to Trait Emotional Intelligence Questionnaire Short form using concurrent application of Rasch analysis and confirmatory factor analysis. First year undergraduate nursing and computing students completed Trait Emotional Intelligence Questionnaire-Short Form in September 2013. Responses were analysed by synthesising results of Rasch analysis and confirmatory factor analysis. Participants (N = 938) completed Trait Emotional Intelligence Questionnaire Short form. Rasch analysis showed the majority of the Trait Emotional Intelligence Questionnaire-Short Form items made a unique contribution to the latent trait of emotional intelligence. Five items did not fit the model and differential item functioning (gender) accounted for this misfit. Confirmatory factor analysis revealed a four-factor structure consisting of: self-confidence, empathy, uncertainty and social connection. All five misfitting items from the Rasch analysis belonged to the 'social connection' factor. The concurrent use of Rasch and factor analysis allowed for novel interpretation of Trait Emotional Intelligence Questionnaire Short form. Much of the response variation in Trait Emotional Intelligence Questionnaire Short form can be accounted for by the social connection factor. Implications for practice are discussed. © 2015 John Wiley & Sons Ltd.
Quantum-like Probabilistic Models Outside Physics
NASA Astrophysics Data System (ADS)
Khrennikov, Andrei
We present a quantum-like (QL) model in that contexts (complexes of e.g. mental, social, biological, economic or even political conditions) are represented by complex probability amplitudes. This approach gives the possibility to apply the mathematical quantum formalism to probabilities induced in any domain of science. In our model quantum randomness appears not as irreducible randomness (as it is commonly accepted in conventional quantum mechanics, e.g. by von Neumann and Dirac), but as a consequence of obtaining incomplete information about a system. We pay main attention to the QL description of processing of incomplete information. Our QL model can be useful in cognitive, social and political sciences as well as economics and artificial intelligence. In this paper we consider in a more detail one special application — QL modeling of brain's functioning. The brain is modeled as a QL-computer.
Distributed neural system for emotional intelligence revealed by lesion mapping.
Barbey, Aron K; Colom, Roberto; Grafman, Jordan
2014-03-01
Cognitive neuroscience has made considerable progress in understanding the neural architecture of human intelligence, identifying a broadly distributed network of frontal and parietal regions that support goal-directed, intelligent behavior. However, the contributions of this network to social and emotional aspects of intellectual function remain to be well characterized. Here we investigated the neural basis of emotional intelligence in 152 patients with focal brain injuries using voxel-based lesion-symptom mapping. Latent variable modeling was applied to obtain measures of emotional intelligence, general intelligence and personality from the Mayer, Salovey, Caruso Emotional Intelligence Test (MSCEIT), the Wechsler Adult Intelligence Scale and the Neuroticism-Extroversion-Openness Inventory, respectively. Regression analyses revealed that latent scores for measures of general intelligence and personality reliably predicted latent scores for emotional intelligence. Lesion mapping results further indicated that these convergent processes depend on a shared network of frontal, temporal and parietal brain regions. The results support an integrative framework for understanding the architecture of executive, social and emotional processes and make specific recommendations for the interpretation and application of the MSCEIT to the study of emotional intelligence in health and disease.
Distributed neural system for emotional intelligence revealed by lesion mapping
Colom, Roberto; Grafman, Jordan
2014-01-01
Cognitive neuroscience has made considerable progress in understanding the neural architecture of human intelligence, identifying a broadly distributed network of frontal and parietal regions that support goal-directed, intelligent behavior. However, the contributions of this network to social and emotional aspects of intellectual function remain to be well characterized. Here we investigated the neural basis of emotional intelligence in 152 patients with focal brain injuries using voxel-based lesion-symptom mapping. Latent variable modeling was applied to obtain measures of emotional intelligence, general intelligence and personality from the Mayer, Salovey, Caruso Emotional Intelligence Test (MSCEIT), the Wechsler Adult Intelligence Scale and the Neuroticism-Extroversion-Openness Inventory, respectively. Regression analyses revealed that latent scores for measures of general intelligence and personality reliably predicted latent scores for emotional intelligence. Lesion mapping results further indicated that these convergent processes depend on a shared network of frontal, temporal and parietal brain regions. The results support an integrative framework for understanding the architecture of executive, social and emotional processes and make specific recommendations for the interpretation and application of the MSCEIT to the study of emotional intelligence in health and disease. PMID:23171618
ERIC Educational Resources Information Center
von Stumm, Sophie; Batty, G. David; Deary, Ian J.
2011-01-01
Childhood intelligence (age 11) and occupational social status at midlife (age 46 to 51) was associated with marital status and reproduction in a sample from the Aberdeen Children of the 1950s cohort study (N = 9614). Male and female divorcees had lower childhood intelligence test scores than their married counterparts, but no meaningful…
Trait and Ability Emotional Intelligence in Adolescents with and without Autism Spectrum Disorder
ERIC Educational Resources Information Center
Boily, Roxanne; Kingston, Sydney E.; Montgomery, Janine M.
2017-01-01
Social-emotional impairments are considered core symptoms of Autism Spectrum Disorder (ASD). Although numerous interventions have been developed to remediate the social deficits in children with ASD, few have been designed to meet the needs of youth. Given research demonstrating relations between emotional intelligence (EI) and social outcomes in…
Essentialism and Social Representations of Intelligence
ERIC Educational Resources Information Center
Räty, Hannu; Mononen, Noora; Pykäläinen, Elina
2017-01-01
This study aims to examine the role of essentialist interpretations in education. A group of university students (N = 196) were asked to rank themselves on a social ladder and respond to a set of statements on essentialist beliefs about social class and differential notions of intelligence. Results showed that it is possible to construct a…
Kornreich, C; Delle-Vigne, D; Knittel, J; Nerincx, A; Campanella, S; Noel, X; Hanak, C; Verbanck, P; Ermer, E
2011-01-01
Aims To study the “social brain” in alcoholics by investigating social contract reasoning, theory of mind, and emotional intelligence. Design A behavioral study comparing recently detoxified alcoholics with normal, healthy controls. Setting Emotional intelligence and decoding of emotional non-verbal cues have been shown to be impaired in alcoholics. This study explores whether these deficits extend to conditional reasoning about social contracts. Participants 25 recently detoxified alcoholics (17 men and 8 women) were compared with 25 normal controls (17 men and 8 women) matched for sex, age, and education level. Measurements Wason Selection Task investigating conditional reasoning on three different rule types (social contract, precautionary, and descriptive), Revised Reading the Mind in the Eyes Test, Trait Emotional Intelligence Questionnaire (modified version), and additional control measures. Findings Conditional reasoning was impaired in alcoholics. Performance on descriptive rules was not above chance. Reasoning performance was markedly better on social contract and precautionary rules, but this performance was still significantly lower than in controls. Several emotional intelligence measures were lower in alcoholics compared to controls, but these were not correlated with reasoning performance. Conclusions Conditional reasoning and emotional intelligence appear impaired in alcoholics. Impairment was particularly severe on descriptive rules. Though alcoholics' performance was better on social contract and precautionary rules, overall reasoning performance was still low. Differential performance is consistent with distinct neurocognitive reasoning mechanisms and partial resilience of evolutionarily-relevant functions. Impairment in social contract reasoning might lead to misunderstandings and frustration in social interactions, and reasoning difficulties about precautionary rules might contribute to risky behaviors in this population. PMID:21205056
Emotional intelligence in incarcerated men with psychopathic traits
Ermer, Elsa; Kahn, Rachel E.; Salovey, Peter; Kiehl, Kent A.
2012-01-01
The expression, recognition, and communication of emotional states are ubiquitous features of the human social world. Emotional intelligence (EI) is defined as the ability to perceive, manage, and reason about emotions, in oneself and others. Individuals with psychopathy have numerous difficulties in social interaction and show impairment on some emotional tasks. Here we investigate the relation between emotional intelligence and psychopathy in a sample of incarcerated men (n=374), using the Psychopathy Checklist—Revised (PCL-R; Hare, 2003) and the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT; Mayer, Salovey, & Caruso, 2002). The MSCEIT is a well-validated ability-based emotional intelligence measure that does not rely on self-report judgments of emotional skills. The Hare PCL-R is the gold-standard for the assessment of psychopathy in clinical populations. Controlling for general intelligence, psychopathy was associated with lower emotional intelligence. These findings suggest individuals with psychopathy are impaired on a range of emotional intelligence abilities and that emotional intelligence is an important area for understanding deficits in psychopathy. PMID:22329657
Rattan, Aneeta; Savani, Krishna; Naidu, N V R; Dweck, Carol S
2012-11-01
We identify a novel dimension of people's beliefs about intelligence: beliefs about the potential to become highly intelligent. Studies 1-3 found that in U.S. American contexts, people tend to believe that only some people have the potential to become highly intelligent. In contrast, in South Asian Indian contexts, people tend to believe that most people have the potential to become highly intelligent. To examine the implications of these beliefs, Studies 4-6 measured and manipulated Americans' beliefs about the potential for intelligence and found that the belief that everyone can become highly intelligent predicted increased support for policies that distribute resources more equally across advantaged and disadvantaged social groups. These findings suggest that the belief that only some people have the potential to become highly intelligent is a culturally shaped belief, and one that can lead people to oppose policies aimed at redressing social inequality. (c) 2012 APA, all rights reserved.
ERIC Educational Resources Information Center
Al-Tamimi, Eman Mohammad Reda Ali; Al-Khawaldeh, Naseer Ahmad
2016-01-01
The study has examined the correlation between emotional intelligence, social skills, and religious behavior among university female students, since it had been noticed that there was escalation in the frequency of some behavioral and emotional problems such as vandalism, aggression, social withdrawal, weakness of social relations, patterns of…
Competitive Intelligence and Social Advantage.
ERIC Educational Resources Information Center
Davenport, Elisabeth; Cronin, Blaise
1994-01-01
Presents an overview of issues concerning civilian competitive intelligence (CI). Topics discussed include competitive advantage in academic and research environments; public domain information and libraries; covert and overt competitive intelligence; data diversity; use of the Internet; cooperative intelligence; and implications for library and…
Janke, Katrin; Driessen, Martin; Behnia, Behnoush; Wingenfeld, Katja; Roepke, Stefan
2018-06-01
Emotional intelligence as a part of social cognition has, to our knowledge, never been investigated in patients with Posttraumatic Stress Disorder (PTSD), though the disorder is characterized by aspects of emotional dysfunctioning. PTSD often occurs with Borderline Personality Disorder (BPD) as a common comorbidity. Studies about social cognition and emotional intelligence in patients with BPD propose aberrant social cognition, but produced inconsistent results regarding emotional intelligence. The present study aims to assess emotional intelligence in patients with PTSD without comorbid BPD, PTSD with comorbid BPD, and BPD patients without comorbid PTSD, as well as in healthy controls. 71 patients with PTSD (41 patients with PTSD without comorbid BPD, 30 patients with PTSD with comorbid BPD), 56 patients with BPD without PTSD, and 63 healthy controls filled in the Test of Emotional Intelligence (TEMINT). Patients with PTSD without comorbid BPD showed impairments in emotional intelligence compared to patients with BPD without PTSD, and compared to healthy controls. These impairments were not restricted to specific emotions. Patients with BPD did not differ significantly from healthy controls. This study provides evidence for an impaired emotional intelligence in PTSD without comorbid BPD compared to BPD and healthy controls, affecting a wide range of emotions. Copyright © 2018 Elsevier B.V. All rights reserved.
Problem Reframing: Intelligence Professionals’ Role in Design
2010-04-01
The idea of differences exists in intelligence analyst’s Don McDowell’s book Strategic Intelligence, when he explains that covering all events...Complexity, (New York, Basic Books , 2000), 7. 57 Gharajedaghi, 107. 20 intelligence community with an end result of increasing the potential for greater...Avoiding Error in Complex Situations, (New York: Basic Books , 1996), 164. 79 Ibid. 26 understanding the operational environment to planning the
Correlates of the Gudjonsson Suggestibility Scale in delinquent adolescents.
Muris, Peter; Meesters, Cor; Merckelbach, Harald
2004-02-01
Correlations between scores on the Gudjonsson Suggestibility Scale and a number of relevant personality characteristics, i.e., intelligence, memory, social inadequacy, social desirability, and fantasy proneness, were examined in a sample of 71 delinquent boys. Analysis showed that intelligence and memory were negatively related to suggestibility scores. That is, lower memory and intelligence were associated with higher suggestibility. No significant correlations were found between suggestibility and other personality characteristics.
2013-01-01
outreach, and (4) social science and historical research/lessons learned . In some instances, the research entity fit into more than one category. We...Bureau of Intelligence and Research (INR) and the Analytic Outreach Initiative (AOI) at ODNI. Social science and historical research/lessons learned ...its coordination efforts, CSIR was interested in learning more about potential interagency research partners and how collaboration could be improved
Complexity and compositionality in fluid intelligence.
Duncan, John; Chylinski, Daphne; Mitchell, Daniel J; Bhandari, Apoorva
2017-05-16
Compositionality, or the ability to build complex cognitive structures from simple parts, is fundamental to the power of the human mind. Here we relate this principle to the psychometric concept of fluid intelligence, traditionally measured with tests of complex reasoning. Following the principle of compositionality, we propose that the critical function in fluid intelligence is splitting a complex whole into simple, separately attended parts. To test this proposal, we modify traditional matrix reasoning problems to minimize requirements on information integration, working memory, and processing speed, creating problems that are trivial once effectively divided into parts. Performance remains poor in participants with low fluid intelligence, but is radically improved by problem layout that aids cognitive segmentation. In line with the principle of compositionality, we suggest that effective cognitive segmentation is important in all organized behavior, explaining the broad role of fluid intelligence in successful cognition.
Brave New World of Intelligence Testing.
ERIC Educational Resources Information Center
Rice, Berkeley
1979-01-01
New approaches to assessing intelligence are discussed, as well as new intelligence tests. Among the developments are investigating neurometrics, adapting testing to the effects of technology on children, countering cultural bias, assessing social intelligence, focusing on aspects of cognitive styles, measuring learning potential, and using…
Emotional Intelligence and Interpersonal Relations.
ERIC Educational Resources Information Center
Schutte, Nicola S.; Malouff, John M.; Bobik, Chad; Coston, Tracie D.; Greeson, Cyndy; Jedlicka, Christina; Rhodes, Emily; Wendorf, Greta
2001-01-01
Presents the results of seven studies that focused on the link between emotional intelligence and interpersonal relations. Tests emotional intelligence with empathy and self-monitoring, social skills, cooperation, relations with others, and marital satisfaction. Explores preference for emotionally intelligent partners in the final study. Includes…
Political Orientations, Intelligence and Education
ERIC Educational Resources Information Center
Rindermann, Heiner; Flores-Mendoza, Carmen; Woodley, Michael A.
2012-01-01
The social sciences have traditionally assumed that education is a major determinant of citizens' political orientations and behavior. Several studies have also shown that intelligence has an impact. According to a theory that conceptualizes intelligence as a "burgher" (middle-class, civil) phenomenon--intelligence should promote civil…
Intelligent mobility research for robotic locomotion in complex terrain
NASA Astrophysics Data System (ADS)
Trentini, Michael; Beckman, Blake; Digney, Bruce; Vincent, Isabelle; Ricard, Benoit
2006-05-01
The objective of the Autonomous Intelligent Systems Section of Defence R&D Canada - Suffield is best described by its mission statement, which is "to augment soldiers and combat systems by developing and demonstrating practical, cost effective, autonomous intelligent systems capable of completing military missions in complex operating environments." The mobility requirement for ground-based mobile systems operating in urban settings must increase significantly if robotic technology is to augment human efforts in these roles and environments. The intelligence required for autonomous systems to operate in complex environments demands advances in many fields of robotics. This has resulted in large bodies of research in areas of perception, world representation, and navigation, but the problem of locomotion in complex terrain has largely been ignored. In order to achieve its objective, the Autonomous Intelligent Systems Section is pursuing research that explores the use of intelligent mobility algorithms designed to improve robot mobility. Intelligent mobility uses sensing, control, and learning algorithms to extract measured variables from the world, control vehicle dynamics, and learn by experience. These algorithms seek to exploit available world representations of the environment and the inherent dexterity of the robot to allow the vehicle to interact with its surroundings and produce locomotion in complex terrain. The primary focus of the paper is to present the intelligent mobility research within the framework of the research methodology, plan and direction defined at Defence R&D Canada - Suffield. It discusses the progress and future direction of intelligent mobility research and presents the research tools, topics, and plans to address this critical research gap. This research will create effective intelligence to improve the mobility of ground-based mobile systems operating in urban settings to assist the Canadian Forces in their future urban operations.
An Analytical Model / Emotional Intelligence Quotient and QOL in Mothers with Infants in Japan.
Ohashi, Junko; Katsura, Toshiki; Hoshino, Akiko; Usui, Kanae
2013-01-01
The purpose of this study was to examine the relationship between the emotional intelligence quotient and health-related quality of life using structural equation modeling. A self-administered questionnaire survey was conducted among 1,911 mothers who visited the Health Center for an infant medical examination. A hypothetical model was constructed using variables of the emotional intelligence quotient, social support, coping, parenting stress, and perceived health competence. There were a total of 1,104 valid responses (57.8%). Significant standardized estimates were obtained, confirming the goodness of fit issues with the model. The emotional intelligence quotient had a strong impact on physical and psychological quality of life, and showed the greatest association with coping. This study differed from previous studies in that, due to the inclusion of social support and explanatory variables in coping, an increase in coping strategies was more highly associated with emotional intelligence quotient levels than with social support. An enhanced emotional intelligence quotient should be considered a primary objective to promote the health of mothers with infant children.
Strategies to Foster Emotional Intelligence in Christian Higher Education
ERIC Educational Resources Information Center
Gliebe, Sudi Kate
2012-01-01
This article proposes five initiatives to foster emotional intelligence (EI) education throughout institutions of Christian higher education. Goleman (1995) identifies self-awareness, managing emotions, motivation, empathy, and social intelligence as the hallmark skills of emotional intelligence. The importance of mastering these skills and their…
Expertise, Task Complexity, and Artificial Intelligence: A Conceptual Framework.
ERIC Educational Resources Information Center
Buckland, Michael K.; Florian, Doris
1991-01-01
Examines the relationship between users' expertise, task complexity of information system use, and artificial intelligence to provide the basis for a conceptual framework for considering the role that artificial intelligence might play in information systems. Cognitive and conceptual models are discussed, and cost effectiveness is considered. (27…
NASA Technical Reports Server (NTRS)
Chu, R. W.; Mitchell, C. M.; Govindaraj, T.
1989-01-01
This paper discusses the motivation and goals of a research project which addresses the problems and issues of operator training in complex engineering sytems. The research proposes a tutor/aid paradigm for the design of an intelligent tutoring system (ITS) that evolves from a tutor to an operator's assistant for supervisory control of complex dynamic systems. Characteristics of an intelligent tutoring/aiding system are identified with respect to the representation of domain knowledge, the tutor's pedagogical structure, and the student knowledge representation. The research represents a first step in the design of an intelligent complex dynamic systems.
Complexity and compositionality in fluid intelligence
Duncan, John; Chylinski, Daphne
2017-01-01
Compositionality, or the ability to build complex cognitive structures from simple parts, is fundamental to the power of the human mind. Here we relate this principle to the psychometric concept of fluid intelligence, traditionally measured with tests of complex reasoning. Following the principle of compositionality, we propose that the critical function in fluid intelligence is splitting a complex whole into simple, separately attended parts. To test this proposal, we modify traditional matrix reasoning problems to minimize requirements on information integration, working memory, and processing speed, creating problems that are trivial once effectively divided into parts. Performance remains poor in participants with low fluid intelligence, but is radically improved by problem layout that aids cognitive segmentation. In line with the principle of compositionality, we suggest that effective cognitive segmentation is important in all organized behavior, explaining the broad role of fluid intelligence in successful cognition. PMID:28461462
Ability-versus skill-based assessment of emotional intelligence.
Bradberry, Travis R; Su, Lac D
2006-01-01
Emotional intelligence has received an intense amount of attention in leadership circles during the last decade and continuing debate exists concerning the best method for measuring this construct. This study analyzed leader emotional intelligence scores, measured via skill and ability methodologies, against leader job performance. Two hundred twelve employees from three organizations participated in this study. Scores on the Emotional Intelligence Appraisal, a skill-based assessment, were positively, though not significantly, correlated with scores on the MSCEIT, an ability-based assessment of emotional intelligence. Scores on the MSCEIT did not have a significant relationship with job performance in this study, whereas, scores on the Emotional Intelligence Appraisal had a strong link to leader job performance. The four subcomponents of the Emotional Intelligence Appraisal were examined against job performance. Relationship management was a stronger predictor of leader job performance than the other three subcomponents. Social awareness was the single emotional intelligence skill that did not have a significant link to leader job performance. Factor analyses yielded a two-component model of emotional intelligence encompassing personal and social competence, rather than confirmation of a four-part taxonomy.
Hurtado, M M; Triviño, M; Arnedo, M; Roldán, G; Tudela, P
2016-12-30
This research explored the relationship between executive functions (working memory and reasoning subtests of the Wechsler Adult Intelligence Scale, Trail Making and Stroop tests, fluency and planning tasks, and Wisconsin Card Sorting Test) and emotional intelligence measured by the Mayer-Salovey-Caruso Emotional Intelligence Test in patients with schizophrenia or borderline personality disorder compared to a control group. As expected, both clinical groups performed worse than the control group in executive functions and emotional intelligence, although the impairment was greater in the borderline personality disorder group. Executive functions significantly correlated with social functioning. Results are discussed in relation to the brain circuits that mediate executive functions and emotional intelligence and the findings obtained with other models of social cognition. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Race, intelligence and political efficacy among school children.
Carmines, E G; Baxter, D J
1986-01-01
This paper focuses on the difference in political efficacy found between black and white pre-adults, and assesses a specific explanation of this racial difference, one that combines elements of the intelligence explanation with aspects of the social-deprivation explanation as outlined by Paul Abramson. The explanation suggests that the racial difference in feelings of political effectiveness is due to intelligence which, in turn, is basically a function of the social and economic environment. Focusing on a study of 421 black and white students, it is shown that the predictions from the theory are empirically valid. Most importantly, it is demonstrated that once intelligence is controlled for, there is little or no relationship between race and political efficacy--that is, the black and white students are approximately equal in their levels of political effectiveness. Thus the study lends empirical support to this particular explanation of the racial difference in political efficacy, and suggests, more generally, that intelligence may play a significant role in the political socialization process.
2013-09-01
Office of the Inspector General OSINT Open Source Intelligence PPD Presidential Policy Directive SIGINT Signals Intelligence SLFC State/Local Fusion...Geospatial Intelligence (GEOINT) from Geographic Information Systems (GIS), and Open Source Intelligence ( OSINT ) from Social Media. GIS is widely...and monitor make it a feasible tool to capitalize on for OSINT . A formalized EM intelligence process would help expedite the processing of such
[What is Machiavellian intelligence? Views on a little appreciated side of the psyche].
Knecht, T
2004-01-01
Ethological and evolutionary psychological research has produced evidence that intelligence is not a monolithic functional entity but includes a number of specialized mental abilities to cope with life which even stem from diverse evolutionary origins. One of these subforms of intelligence is called "Machiavellian intelligence," named after the 15/16th century Italian politician and author, Niccolo Machiavelli. It provides individuals or groups with a means of social manipulation in order to attain particular goals. Thus, it builds the psychological basis for the display of power in social groups. Machiavellian intelligence can be observed and evaluated in bands of primates as well as in humans, and there are even tools for measurement in the latter.
Measuring Emotional Intelligence: Where We Are Today.
ERIC Educational Resources Information Center
Finegan, Jane E.
Emotional intelligence has been defined as "the ability to monitor one's own and others' feelings and emotions, to discriminate among them, and to use this information to guide one's thinking and actions" (P. Salovey and J. Mayer, 1990). As a subset of social intelligence and of personal intelligences (H. Gardner, 1983), emotional…
The role of social media in the intelligence cycle
NASA Astrophysics Data System (ADS)
Forrester, Bruce; den Hollander, Kees
2016-05-01
Social Media (SM) is a relatively new phenomenon. Intelligence agencies have been struggling to understand how to exploit the social pulse that flows from this source. The paper starts with a brief overview of SM with some examples of how it is being used by adversaries and how we might be able to exploit this usage. Often treated as another form of open source intelligence (OSINT), we look at some of the differences with traditional OSINT compared to SM then outline the possible uses by military intelligence. The next section looks at how SM fits into the different phases of the intelligence cycle: Direction, Collection, Processing and Dissemination. For the first phase, Direction, a number of questions are identified that can be answered typically by SM. For the second phase, the Collection, it is explained how SM, as an asset, transfers questions into methods and the use of different SM resources (e.g. marketer, cognitive behavioral psychologist) and sources to seek the required information. SM is exploited as a multi-intelligence capability. For the Processing phase some aspects are described in how to deal with this capacity (e.g. enabling other intelligence sources) and also which techniques are used to be able to validate the SM sources used.
Overby, Megan; Carrell, Thomas; Bernthal, John
2007-10-01
This study examined 2nd-grade teachers' perceptions of the academic, social, and behavioral competence of students with speech sound disorders (SSDs). Forty-eight 2nd-grade teachers listened to 2 groups of sentences differing by intelligibility and pitch but spoken by a single 2nd grader. For each sentence group, teachers rated the speaker's academic, social, and behavioral competence using an adapted version of the Teacher Rating Scale of the Self-Perception Profile for Children (S. Harter, 1985) and completed 3 open-ended questions. The matched-guise design controlled for confounding speaker and stimuli variables that were inherent in prior studies. Statistically significant differences in teachers' expectations of children's academic, social, and behavioral performances were found between moderately intelligible and normal intelligibility speech. Teachers associated moderately intelligible low-pitched speech with more behavior problems than moderately intelligible high-pitched speech or either pitch with normal intelligibility. One third of the teachers reported that they could not accurately predict a child's school performance based on the child's speech skills, one third of the teachers causally related school difficulty to SSD, and one third of the teachers made no comment. Intelligibility and speaker pitch appear to be speech variables that influence teachers' perceptions of children's school performance.
NASA Astrophysics Data System (ADS)
Demin, V. A.; Emelyanov, A. V.; Lapkin, D. A.; Erokhin, V. V.; Kashkarov, P. K.; Kovalchuk, M. V.
2016-11-01
The instrumental realization of neuromorphic systems may form the basis of a radically new social and economic setup, redistributing roles between humans and complex technical aggregates. The basic elements of any neuromorphic system are neurons and synapses. New memristive elements based on both organic (polymer) and inorganic materials have been formed, and the possibilities of instrumental implementation of very simple neuromorphic systems with different architectures on the basis of these elements have been demonstrated.
Humans have evolved specialized skills of social cognition: the cultural intelligence hypothesis.
Herrmann, Esther; Call, Josep; Hernàndez-Lloreda, Maráa Victoria; Hare, Brian; Tomasello, Michael
2007-09-07
Humans have many cognitive skills not possessed by their nearest primate relatives. The cultural intelligence hypothesis argues that this is mainly due to a species-specific set of social-cognitive skills, emerging early in ontogeny, for participating and exchanging knowledge in cultural groups. We tested this hypothesis by giving a comprehensive battery of cognitive tests to large numbers of two of humans' closest primate relatives, chimpanzees and orangutans, as well as to 2.5-year-old human children before literacy and schooling. Supporting the cultural intelligence hypothesis and contradicting the hypothesis that humans simply have more "general intelligence," we found that the children and chimpanzees had very similar cognitive skills for dealing with the physical world but that the children had more sophisticated cognitive skills than either of the ape species for dealing with the social world.
Soltani, Batoul; Keyvanara, Mahmoud
2013-01-01
Introduction: At the modern age, to acquire knowledge and experience, the individuals with their own specific culture have to enter contexts with cultural diversity, adapt to different cultures and have social interactions to be able to have effective inter-cultural relationships.To have such intercultural associations and satisfy individual needs in the society, cultural intelligence and social adaptability are deemed as inevitable requirements, in particular for those who enter a quite different culture. Hence, the present study tries to compare the cultural intelligence and its aspects and social adaptability in Iranian and non-Iranian dormitory students of Isfahan University of Medical Sciences in 2012. Methodology: The study was of descriptiveanalytical nature. The research population consisted of Iranian and non-Iranian students resided in the dormitories of Isfahan University of Medical Sciences which are 2500, totally. For Iranian students, two-stage sampling method was adopted. At the first stage, classified sampling and at the second stage, systematic random sampling was conducted. In this way, 441 students were selected. To form non-Iranian students’ sample, consensus sampling method was applied and a sample of 37 students were obtained. The research data was collected by using Earley & Ang’s Cultural Intelligence Questionnaire with the Cronbach’s coefficient α of 76% and California Social Adaptability Standard Questionnaire with the Cronbach’s coefficient α of over 70%. Then, the data were put into SPSS software to be analyzed. Finally, the results were presented by descriptive and inferential statistics methods. Results: The study findings revealed that there was no statistically significant difference between cultural intelligence and cognitive aspect of cultural intelligence in Iranian and non-Iranian students (P≥0/05). However, Iranian and non-Iranian students statistically differed in terms of the following aspects of cultural intelligence: meta-cognitive aspect (61.8% for Iranian students vs. 47.6% for non-Iranians), motivational aspect (59.0% vs. 42.6%), behavioral aspect (31.8% vs. 41.2%) as well as social adaptability as the other variable in question ( 68.9% vs. 56.2%) (p<0.001). Conclusion: The comparison of the mean scores gained for meta-cognitive and motivational aspects of cultural intelligence as well as social adaptability in Iranian and non-Iranian students resided in the dormitories of Isfahan University of Medical Sciences revealed that the Iranian students had the higher rank. On the other hand, the mean score acquired for the behavioral aspect in Iranian and non-Iranian students were comparable, with non-Iranian students having the higher mean scores. Therefore, it can be said that the meta-cognitive and motivational aspects of cultural intelligence and social adaptability of non-Iranian students and the behavioral aspect of Iranian students’ cultural intelligence may be promoted by educational planning, thereby, taking effective steps towards their achievement in contexts with inter-cultural interaction . In this way, their mental health will be enhanced, as well. PMID:23678339
Soltani, Batoul; Keyvanara, Mahmoud
2013-01-01
At the modern age, to acquire knowledge and experience, the individuals with their own specific culture have to enter contexts with cultural diversity, adapt to different cultures and have social interactions to be able to have effective inter-cultural relationships.To have such intercultural associations and satisfy individual needs in the society, cultural intelligence and social adaptability are deemed as inevitable requirements, in particular for those who enter a quite different culture. Hence, the present study tries to compare the cultural intelligence and its aspects and social adaptability in Iranian and non-Iranian dormitory students of Isfahan University of Medical Sciences in 2012. The study was of descriptiveanalytical nature. The research population consisted of Iranian and non-Iranian students resided in the dormitories of Isfahan University of Medical Sciences which are 2500, totally. For Iranian students, two-stage sampling method was adopted. At the first stage, classified sampling and at the second stage, systematic random sampling was conducted. In this way, 441 students were selected. To form non-Iranian students' sample, consensus sampling method was applied and a sample of 37 students were obtained. The research data was collected by using Earley & Ang's Cultural Intelligence Questionnaire with the Cronbach's coefficient α of 76% and California Social Adaptability Standard Questionnaire with the Cronbach's coefficient α of over 70%. Then, the data were put into SPSS software to be analyzed. Finally, the results were presented by descriptive and inferential statistics methods. The study findings revealed that there was no statistically significant difference between cultural intelligence and cognitive aspect of cultural intelligence in Iranian and non-Iranian students (P≥0/05). However, Iranian and non-Iranian students statistically differed in terms of the following aspects of cultural intelligence: meta-cognitive aspect (61.8% for Iranian students vs. 47.6% for non-Iranians), motivational aspect (59.0% vs. 42.6%), behavioral aspect (31.8% vs. 41.2%) as well as social adaptability as the other variable in question ( 68.9% vs. 56.2%) (p<0.001). The comparison of the mean scores gained for meta-cognitive and motivational aspects of cultural intelligence as well as social adaptability in Iranian and non-Iranian students resided in the dormitories of Isfahan University of Medical Sciences revealed that the Iranian students had the higher rank. On the other hand, the mean score acquired for the behavioral aspect in Iranian and non-Iranian students were comparable, with non-Iranian students having the higher mean scores. Therefore, it can be said that the meta-cognitive and motivational aspects of cultural intelligence and social adaptability of non-Iranian students and the behavioral aspect of Iranian students' cultural intelligence may be promoted by educational planning, thereby, taking effective steps towards their achievement in contexts with inter-cultural interaction . In this way, their mental health will be enhanced, as well.
NASA Astrophysics Data System (ADS)
Hanson, David F.
2017-04-01
Bio-inspired intelligent robots are coming of age in both research and industry, propelling market growth for robots and A.I. However, conventional motors limit bio-inspired robotics. EAP actuators and sensors could improve the simplicity, compliance, physical scaling, and offer bio-inspired advantages in robotic locomotion, grasping and manipulation, and social expressions. For EAP actuators to realize their transformative potential, further innovations are needed: the actuators must be robust, fast, powerful, manufacturable, and affordable. This presentation surveys progress, opportunities, and challenges in the author's latest work in social robots and EAP actuators, and proposes a roadmap for EAP actuators in bio-inspired intelligent robotics.
Higher social intelligence can impair source memory.
Barber, Sarah J; Franklin, Nancy; Naka, Makiko; Yoshimura, Hiroki
2010-03-01
Source monitoring is made difficult when the similarity between candidate sources increases. The current work examines how individual differences in social intelligence and perspective-taking abilities serve to increase source similarity and thus negatively impact source memory. Strangers first engaged in a cooperative storytelling task. On each trial, a single word was shown to both participants, but only 1 participant was designated to add a story sentence, using this assigned word. As predicted, social intelligence negatively predicted performance in a subsequent source-monitoring task. In a 2nd study, preventing participants from being able to anticipate their partner's next contribution to the story eliminated the effect.
Jacobs, Madeline; Snow, Joseph; Geraci, Marilla; Vythilingam, Meena; Blair, R J R; Charney, Dennis S; Pine, Daniel S; Blair, Karina S
2008-12-01
Generalized social phobia (GSP) is characterized by a marked fear of most social situations. It is associated with an anomalous neural response to emotional stimuli, and individuals with the disorder frequently show interpretation bias in social situations. From this it might be suggested that GSP involves difficulty in accurately perceiving, using, understanding and managing emotions. Here we applied the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) to medication-free GSP (n=28) and no pathology (n=21) individuals. Patients with GSP performed within the normal range on the measure however severity of social anxiety significantly correlated with emotional intelligence (EI). Specifically, there was a negative correlation between social anxiety severity and Experiential (basic-level emotional processing) EI. In contrast, there was no significant correlation between social anxiety severity and Strategic (higher-level conscious emotional processing) EI. These results suggest that EI may index emotional processing systems that mitigate the impact of systems causally implicated in GSP.
Jacobs, Madeline; Snow, Joseph; Geraci, Marilla; Vythilingam, Meena; Blair, R.J.R.; Charney, Dennis S.; Pine, Daniel S.; Blair, Karina S.
2008-01-01
Generalized Social Phobia (GSP) is characterized by a marked fear of most social situations. It is associated with an anomalous neural response to emotional stimuli, and individuals with the disorder frequently show interpretation bias in social situations. From this it might be suggested that GSP involves difficulty in accurately perceiving, using, understanding and managing emotions. Here we applied the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) to medication-free GSP (n=28) and no pathology (n=21) individuals. Patients with GSP performed within the normal range on the measure however severity of social anxiety significantly correlated with emotional intelligence (EI). Specifically, there was a negative correlation between social anxiety severity and Experiential (basic-level emotional processing) EI. In contrast, there was no significant correlation between social anxiety severity and Strategic (higher-level conscious emotional processing) EI. These results suggest that EI may index emotional processing systems that mitigate the impact of systems causally implicated in GSP. PMID:18439799
History, culture, and substance use in a rural Scottish community.
Dean, Alan
2002-01-01
This paper provides a detailed discussion of substance use and misuse in a rural community in the Western Highlands of Scotland, United Kingdom. Attention is focused on the way in which patterns of substance use arise from a complex interplay of historical, cultural, social, and personal events. The discussion illustrates how large changes in patterns of intoxication in rural communities can be rendered intelligible through an understanding of the impact of economic, religious, and social changes. The analysis is based on an historical and ethnographic account, carried out between 1987 and 1990 with adolescents, of patterns of use which range from pagan ceremonies in the 16th century to contemporary "soft drug" use.
Fluid intelligence: A brief history.
Kent, Phillip
2017-01-01
The concept of fluid and crystallized intelligence was introduced to the psychological community approximately 75 years ago by Raymond B. Cattell, and it continues to be an area of active research and controversy. The purpose of this paper is to provide a brief overview of the origin of the concept, early efforts to define intelligence and uses of intelligence tests to address pressing social issues, and the ongoing controversies associated with fluid intelligence and the structure of intelligence. The putative neuropsychological underpinnings and neurological substrates of fluid intelligence are discussed.
2013-02-01
Action: A Social Cognition Theory (Englewood Cliffs, NH: Prentice Hall, 1986). 9. Bandura , “Moral Disengagement in the Perpetration of Inhumanities... socialization aspect to emotional intelligence.14 In short, emotional intelligence can be taught and learned . Focus on the Self In each of the practical...Psychology 36, (1978): 635-42; Albert Bandura , “Moral Disengagement in the Perpetration of Inhumanities,” Personality and Social Psychology Review, (3)3
Higher Social Intelligence Can Impair Source Memory
ERIC Educational Resources Information Center
Barber, Sarah J.; Franklin, Nancy; Naka, Makiko; Yoshimura, Hiroki
2010-01-01
Source monitoring is made difficult when the similarity between candidate sources increases. The current work examines how individual differences in social intelligence and perspective-taking abilities serve to increase source similarity and thus negatively impact source memory. Strangers first engaged in a cooperative storytelling task. On each…
Children's Response to School Related to Social Class, Attitude, Intelligence and Creativity.
ERIC Educational Resources Information Center
Freeman, Joan B.
1978-01-01
Results of attitude, intelligence, and creativity tests administered to 180 children, ages 10-11, indicate that school attitude is not significantly related to intelligence, creativity, sex, achievement, school attended, or class attended. (CP)
Association of chronotype and social jetlag with human non-verbal intelligence.
Panev, A S; Tserne, T A; Polugrudov, A S; Bakutova, L A; Petrova, N B; Tatarinova, O V; Kolosova, O N; Borisenkov, M F
2017-01-01
The aim of this study was to evaluate the effects of chronotype and social jetlag (SJL) on intelligence. Subjects were aged 14-25 years (n = 1008). A significant effect of intelligence on academic performance, as measured by the Raven's Standard Progressive Matrices test, was found (F 2,917 = 11.75, P < 0.0001, η 2 = 0.03). When SJL was less than 2 hours, the intelligence of people with late chronotype was found to be higher than that of subjects with early and intermediate chronotypes (F 2,305 = 3.12, P < 0.05, η 2 = 0.02). A negative effect of SJL on the results of intelligence testing was noted only in subjects with late chronotype (F 2,536 = 2.61, P < 0.05, η 2 = 0.02). Our data suggest that people with late chronotype have a higher level of intelligence, but these advantages disappear when SJL ≥2 hours.
Tobia, Valentina; Riva, Paolo; Caprin, Claudia
2017-05-01
Social exclusion has a profound emotional impact on children. However, there is still limited and partly conflicting experimental evidence for the possible effect of social exclusion on children's cognitive performance. In the present study, we tested the possibility that some children are more vulnerable than others to the negative effects of social exclusion on cognitive performance. We selected 4 potential candidates that could moderate the effects of social exclusion: relational self-esteem, peer ratings of popularity, rejection sensitivity and nonverbal intelligence. Individual differences in these 4 potential moderating factors were first assessed in a sample of 318 children (45.6 % females; mean age = 9.92 years). Then, in a subsequent experimental session, the participants were either socially included or excluded using a typical manipulation (i.e., the Cyberball paradigm). Following the manipulation, the children's cognitive performance was assessed using a logical reasoning test. The results showed that the children with lower scores for relational self-esteem (the bottom 37.46 % of the sample), lower popularity (43.49 %) or weaker nonverbal intelligence (37.80 %) performed worse on the logical reasoning test following social exclusion. Moreover, children with combined low self-esteem, popularity and nonverbal intelligence were the most affected by social exclusion. This study identified factors that make some children more vulnerable to the negative effects of social exclusion. Overall, the present work underscores the value of considering basic cognitive and relational individual differences when developing interventions aimed at preventing the negative effects of social exclusion among children.
Human Resource Development, Social Capital, Emotional Intelligence: Any Link to Productivity?
ERIC Educational Resources Information Center
Brooks, Kit; Nafukho, Fredrick Muyia
2006-01-01
Purpose: This article aims to offer a theoretical framework that attempts to show the integration among human resource development (HRD), social capital (SC), emotional intelligence (EI) and organizational productivity. Design/methodology/approach: The literature search included the following: a computerized search of accessible and available…
The Influence of Social Intelligence on Effective Music Teaching
ERIC Educational Resources Information Center
Juchniewicz, Jay
2010-01-01
The purpose of this study was to investigate the influence of social intelligence on effective music teaching. Forty teachers from "exemplary programs" and "more challenging programs" across band, chorus, orchestra, and general public school music programs were administered the Interpersonal Perception Task-15 (IPT-15). In addition, 84 external…
Business Intelligence: Applying the Unified Theory of Acceptance and Use of Technology
ERIC Educational Resources Information Center
Pope, Angela D.
2014-01-01
The purpose of this study was to explore the variables that affect an individual's intention to use business intelligence technology in organizations. Constructs in the study were social influence, performance expectancy, effort expectancy, and behavioral intention. Social influence refers to verbal comments from executives and coworkers that…
Developing Emotional Intelligence Competence among Teachers
ERIC Educational Resources Information Center
Dolev, Niva; Leshem, Shosh
2017-01-01
A growing body of research has linked emotional intelligence (EI) to different life aspects, including personal well-being, quality of social relationships and professional effectiveness. In the field of education, EI has been linked to different aspects of school life, such as learning, academic achievements and pro-social behaviours among…
Measuring Social Competence with the Wechsler Picture Arrangement and Comprehension Subtests.
ERIC Educational Resources Information Center
Campbell, Jonathan M.; McCord, David M.
1999-01-01
Tested the traditional assumption that the Wechsler Adult Intelligence Scale-Revised and the Wechsler Intelligence Scale for Children-Revised Picture Arrangement and Comprehension subtests are measures of social competence using scores from 136 children and adolescents. Cautions against interpreting either subtest as an indicator of social…
McCloughen, Andrea; Foster, Kim
2018-07-01
To identify challenging interpersonal interactions experienced by nursing and pharmacy students during clinical placement, and strategies used to manage those situations. Healthcare students and staff experience elevated stress when exposed to dynamic clinical environments, complex care and challenging professional relationships. Emotionally intelligent behaviours are associated with appropriate recognition and management of emotions evoked by stressful experiences and development of effective relationships. Nursing and pharmacy students' use of emotionally intelligent behaviours to manage challenging interpersonal situations is not well known. A qualitative design, using semi-structured interviews to explore experiences of challenging interpersonal situations during clinical placement (Phase two of a larger mixed-methods study). Final-year Australian university nursing and pharmacy students (n = 20) were purposefully recruited using a range of Emotional Intelligence scores (derived in Phase one), measured using the GENOS Emotional intelligence Inventory (concise version). Challenging interpersonal situations involving student-staff and intrastaff conflict, discourteous behaviour and criticism occurred during clinical placement. Students used personal and relational strategies, incorporating emotionally intelligent behaviours, to manage these encounters. Strategies included reflecting and reframing, being calm, controlling discomfort and expressing emotions appropriately. Emotionally intelligent behaviours are effective to manage stressful interpersonal interactions. Methods for strengthening these behaviours should be integrated into education of nursing and pharmacy students and qualified professionals. Education within the clinical/workplace environment can incorporate key interpersonal skills of collaboration, social interaction and reflection, while also attending to sociocultural contexts of the healthcare setting. Students and staff are frequently exposed to stressful clinical environments and challenging interpersonal encounters within healthcare settings. Use of emotionally intelligent behaviours to recognise and effectively manage these encounters may contribute to greater stress tolerance and enhanced professional relationships. Nursing and pharmacy students, and their qualified counterparts, need to be educated to strengthen their emotional intelligence skills. © 2017 John Wiley & Sons Ltd.
NASA Astrophysics Data System (ADS)
Oral, I.; Dogan, O.
2007-04-01
The aim of this study is to find out the effect of the course materials based on Multiple Intelligence Theory upon the intelligence groups' learning process. In conclusion, the results proved that the materials prepared according to Multiple Intelligence Theory have a considerable effect on the students' learning process. This effect was particularly seen on the student groups of the musical-rhythmic, verbal-linguistic, interpersonal-social and naturalist intelligence.
28 CFR 23.20 - Operating principles.
Code of Federal Regulations, 2012 CFR
2012-07-01
... Judicial Administration DEPARTMENT OF JUSTICE CRIMINAL INTELLIGENCE SYSTEMS OPERATING POLICIES § 23.20 Operating principles. (a) A project shall collect and maintain criminal intelligence information concerning... shall not collect or maintain criminal intelligence information about the political, religious or social...
28 CFR 23.20 - Operating principles.
Code of Federal Regulations, 2014 CFR
2014-07-01
... Judicial Administration DEPARTMENT OF JUSTICE CRIMINAL INTELLIGENCE SYSTEMS OPERATING POLICIES § 23.20 Operating principles. (a) A project shall collect and maintain criminal intelligence information concerning... shall not collect or maintain criminal intelligence information about the political, religious or social...
28 CFR 23.20 - Operating principles.
Code of Federal Regulations, 2010 CFR
2010-07-01
... Judicial Administration DEPARTMENT OF JUSTICE CRIMINAL INTELLIGENCE SYSTEMS OPERATING POLICIES § 23.20 Operating principles. (a) A project shall collect and maintain criminal intelligence information concerning... shall not collect or maintain criminal intelligence information about the political, religious or social...
28 CFR 23.20 - Operating principles.
Code of Federal Regulations, 2013 CFR
2013-07-01
... Judicial Administration DEPARTMENT OF JUSTICE CRIMINAL INTELLIGENCE SYSTEMS OPERATING POLICIES § 23.20 Operating principles. (a) A project shall collect and maintain criminal intelligence information concerning... shall not collect or maintain criminal intelligence information about the political, religious or social...
28 CFR 23.20 - Operating principles.
Code of Federal Regulations, 2011 CFR
2011-07-01
... Judicial Administration DEPARTMENT OF JUSTICE CRIMINAL INTELLIGENCE SYSTEMS OPERATING POLICIES § 23.20 Operating principles. (a) A project shall collect and maintain criminal intelligence information concerning... shall not collect or maintain criminal intelligence information about the political, religious or social...
Overview of Intelligent Systems and Operations Development
NASA Technical Reports Server (NTRS)
Pallix, Joan; Dorais, Greg; Penix, John
2004-01-01
To achieve NASA's ambitious mission objectives for the future, aircraft and spacecraft will need intelligence to take the correct action in a variety of circumstances. Vehicle intelligence can be defined as the ability to "do the right thing" when faced with a complex decision-making situation. It will be necessary to implement integrated autonomous operations and low-level adaptive flight control technologies to direct actions that enhance the safety and success of complex missions despite component failures, degraded performance, operator errors, and environment uncertainty. This paper will describe the array of technologies required to meet these complex objectives. This includes the integration of high-level reasoning and autonomous capabilities with multiple subsystem controllers for robust performance. Future intelligent systems will use models of the system, its environment, and other intelligent agents with which it interacts. They will also require planners, reasoning engines, and adaptive controllers that can recommend or execute commands enabling the system to respond intelligently. The presentation will also address the development of highly dependable software, which is a key component to ensure the reliability of intelligent systems.
Home range overlap as a driver of intelligence in primates.
Grueter, Cyril C
2015-04-01
Various socioecological factors have been suggested to influence cognitive capacity in primates, including challenges associated with foraging and dealing with the complexities of social life. Alexander [Alexander, 1989]. Evolution of the human psyche. In: Mellars P, Stringer C, editors. The human revolution: Behavioural and biological perspectives on the origins of modern humans. Princeton: Princeton University Press. p 455-513] proposed an integrative model for the evolution of human cognitive abilities and complex sociality that incorporates competition among coalitions of conspecifics (inter-group conflict) as a major selective pressure. However, one of the premises of this model, i.e., that when confronted with inter-group conflict selection should favor enhanced cognition, has remained empirically untested. Using a comparative approach on species data, I aimed to test the prediction that primate species (n = 104) that face greater inter-group conflict have higher cognitive abilities (indexed by endocranial volume). The degree of inter-group conflict/complexity was approximated via the variable home range overlap among groups. I found a significant relationship between home range overlap and endocranial volume, even after controlling for other predictor variables and covariates such as group size and body mass. I conclude that brain size evolution cannot be attributed exclusively to social factors such as group size, but likely reflects a variety of social and ecological determinants including inter-group conflict which poses cognitive demands on monitoring both the wider social milieu as well as spatial attributes of the habitat. © 2014 Wiley Periodicals, Inc.
Pąchalska, Maria; Ledwoch, Beata; Moskała, Marek; Zieniewicz, Katarzyna; Mańko, Grzegorz; Polak, Jarosław
2012-01-01
Summary Background The aim of present article is to compare patients with damage to the orbitofrontal cortex and prison inmates in terms of social intelligence and social intelligence monitoring. In addition, personal principles and emotional regulation of behavior will be assessed in both groups. Material/Methods 20 patients with orbitofrontal cortical injury, 20 prisoners and 20 controls answered questions from the Social Interactions Assessment Questionnaire. Then they evaluated their self-disclosure, reported their emotions related to self-disclosure and declared their personal principles concerning conversations with strangers. Results The patients with damage to the orbitofrontal cortex disclosed themselves to a stranger less appropriately than did other subjects, and did not assess it critically. They also violated their own declared principles, but did not feel embarrassed because of that. The prison inmates spoke out less forthrightly on many topics and felt confused during the whole examination. Conclusions Damage to the the orbital part of frontal lobes may result in a disorder of self-disclosure monitoring and impairment of social intelligence in conversations with unknown persons. Prison inmates give information about themselves unwillingly, which may result from their specific experiences during criminal and judicatory procedures and confinement. PMID:22648252
Non-linear pattern formation in bone growth and architecture.
Salmon, Phil
2014-01-01
The three-dimensional morphology of bone arises through adaptation to its required engineering performance. Genetically and adaptively bone travels along a complex spatiotemporal trajectory to acquire optimal architecture. On a cellular, micro-anatomical scale, what mechanisms coordinate the activity of osteoblasts and osteoclasts to produce complex and efficient bone architectures? One mechanism is examined here - chaotic non-linear pattern formation (NPF) - which underlies in a unifying way natural structures as disparate as trabecular bone, swarms of birds flying, island formation, fluid turbulence, and others. At the heart of NPF is the fact that simple rules operating between interacting elements, and Turing-like interaction between global and local signals, lead to complex and structured patterns. The study of "group intelligence" exhibited by swarming birds or shoaling fish has led to an embodiment of NPF called "particle swarm optimization" (PSO). This theoretical model could be applicable to the behavior of osteoblasts, osteoclasts, and osteocytes, seeing them operating "socially" in response simultaneously to both global and local signals (endocrine, cytokine, mechanical), resulting in their clustered activity at formation and resorption sites. This represents problem-solving by social intelligence, and could potentially add further realism to in silico computer simulation of bone modeling. What insights has NPF provided to bone biology? One example concerns the genetic disorder juvenile Pagets disease or idiopathic hyperphosphatasia, where the anomalous parallel trabecular architecture characteristic of this pathology is consistent with an NPF paradigm by analogy with known experimental NPF systems. Here, coupling or "feedback" between osteoblasts and osteoclasts is the critical element. This NPF paradigm implies a profound link between bone regulation and its architecture: in bone the architecture is the regulation. The former is the emergent consequence of the latter.
The coevolution of innovation and technical intelligence in primates
Street, Sally E.; Whalen, Andrew; Laland, Kevin N.
2016-01-01
In birds and primates, the frequency of behavioural innovation has been shown to covary with absolute and relative brain size, leading to the suggestion that large brains allow animals to innovate, and/or that selection for innovativeness, together with social learning, may have driven brain enlargement. We examined the relationship between primate brain size and both technical (i.e. tool using) and non-technical innovation, deploying a combination of phylogenetically informed regression and exploratory causal graph analyses. Regression analyses revealed that absolute and relative brain size correlated positively with technical innovation, and exhibited consistently weaker, but still positive, relationships with non-technical innovation. These findings mirror similar results in birds. Our exploratory causal graph analyses suggested that technical innovation shares strong direct relationships with brain size, body size, social learning rate and social group size, whereas non-technical innovation did not exhibit a direct relationship with brain size. Nonetheless, non-technical innovation was linked to brain size indirectly via diet and life-history variables. Our findings support ‘technical intelligence’ hypotheses in linking technical innovation to encephalization in the restricted set of primate lineages where technical innovation has been reported. Our findings also provide support for a broad co-evolving complex of brain, behaviour, life-history, social and dietary variables, providing secondary support for social and ecological intelligence hypotheses. The ability to gain access to difficult-to-extract, but potentially nutrient-rich, resources through tool use may have conferred on some primates adaptive advantages, leading to selection for brain circuitry that underlies technical proficiency. PMID:26926276
Emotional Intelligence: What the Research Says.
ERIC Educational Resources Information Center
Cobb, Casey D.; Mayer, John D.
2000-01-01
Educational practices involving emotional intelligence should be based on solid research, not sensationalistic claims. There are two emotional-intelligence models based on ability and an ability/social-competence mixture. Emphasizing cooperative behavior could stifle creativity, healthy skepticism, or spontaneity. Teaching emotional reasoning pays…
A Pilot Study of Urinary Peptides as Biomarkers for Intelligence in Old Age
ERIC Educational Resources Information Center
Lopez, Lorna M.; Mullen, William; Zurbig, Petra; Harris, Sarah E.; Gow, Alan J.; Starr, John M.; Porteous, David J.; Mischak, Harald; Deary, Ian J.
2011-01-01
Intelligence is an important indicator of physical, mental and social well-being. In old age, intelligence is also associated with a higher quality of life and better health. Heritability studies have shown that there are strong genetic influences, yet unknown, on intelligence, including in old age. Other approaches may be useful to investigate…
Ott, S L; Spinelli, S; Rock, D; Roberts, S; Amminger, G P; Erlenmeyer-Kimling, L
1998-05-04
Social deficits, as well as low performance on intelligence tests, are known early symptoms of schizophrenia. We studied whether impairment of social intelligence can be detected before the outbreak of the disorder. In the New York High-Risk Project, children at risk for schizophrenia (HRSz) or affective disorder (HRAff) and a normal control group (NC) were studied over the past 26 years. The children are now in mid-adulthood, with known psychiatric outcomes. Developmental and clinical data from childhood can now be related to adulthood diagnoses. We compared mean WISC (or WISC-R) and WAIS (or WAIS-R) scores from childhood and adolescence, and change of IQ, between the risk groups, as well as between the adulthood outcomes. We were specifically interested in the development of social intelligence (the Picture Arrangement and Comprehension subtests). We used logistic regression analyses to generate a model predicting adulthood schizophrenia. IQ at age 9,7 was lower in children with HRSz than with HRAff. Adulthood schizophrenia, compared with major depressive disorder and no psychiatric diagnosis could not be related conclusively to low IQ. This may be a result of the study design, since children with IQ below 70 or behavioral problems were not eligible as study subjects. There was no evidence of lower scores or more decline in social intelligence related to age or group membership (risk or outcome). Subtest-Scatter, a nondirectional measure of the differences between all subtests and Vocabulary, reflecting a lesser difference between crystallized and fluid intelligence, was identified as a significant predictor of adulthood schizophrenia, in the whole group as well as in the HRSz group alone.
ERIC Educational Resources Information Center
Moana, Monnier
2015-01-01
Demands related to the frequency of and time required for interactional tasks in everyday occupational routines are continuously growing. When it comes to qualifying a person's ability to interact with others, two prototypical concepts are often used: social competences and emotional intelligence. In connection to discussions about curriculum…
ERIC Educational Resources Information Center
Sánchez-Núñez, María Trinidad; Patti, Janet; Holzer, Allison
2015-01-01
Focus on social and emotional intelligence competencies to improve effective leadership has become commonplace in the corporate arena and is now considered by many a prerequisite to successful job performance and outcomes (Antonakis, Ashkanasy, & Dasborough, 2009; Grant, Curtayne, & Burton, 2009; Spence & Grant, 2007; Kampa-Kokesch…
The Social and the Psychological: Structure and Context in Intellectual Development
ERIC Educational Resources Information Center
Psaltis, Charis; Duveen, Gerard; Perret-Clermont, Anne-Nelly
2009-01-01
This paper discusses the distinct meanings of "internalization" and "interiorization" as ways of rendering intelligible the social constitution of the psychological in a line of research that started with Piaget and extended into a post-Piagetian reformulation of intelligence in successive generations of studies of the relations between social…
Emotional Intelligence, Communication Competence, and Student Perceptions of Team Social Cohesion
ERIC Educational Resources Information Center
Troth, Ashlea C.; Jordan, Peter J.; Lawrence, Sandra A.
2012-01-01
Students generally report poor experiences of group work in university settings. This study examines whether individual student perceptions of team social cohesion are determined by their level of emotional intelligence (EI) and whether this relationship is mediated by their communication skills. Business students (N = 273) completed the 16-item…
ERIC Educational Resources Information Center
Pabian, Sara; Vandebosch, Heidi
2016-01-01
The purpose of the present study is to examine bullying perpetration and social intelligence (SI), which is a sociocognitive characteristic that has been proposed as a possible regulator of traditional and cyberbullying. We compared SI for perpetrators and nonperpetrators of traditional bullying and/or cyberbullying and examined longitudinal…
Let's Talk about Talking: Accountable Talk and Participatory Learning
ERIC Educational Resources Information Center
Huss, John A.
2007-01-01
Middle-grade students like to talk. This natural "gift of gab" may at times be suppressed by teachers who prefer to impart knowledge rather than allow students to participate in its development. Intelligence is a social practice. Students become adept at socializing their intelligence if they are encouraged to talk in meaningful and constructive…
Modeling and simulating human teamwork behaviors using intelligent agents
NASA Astrophysics Data System (ADS)
Fan, Xiaocong; Yen, John
2004-12-01
Among researchers in multi-agent systems there has been growing interest in using intelligent agents to model and simulate human teamwork behaviors. Teamwork modeling is important for training humans in gaining collaborative skills, for supporting humans in making critical decisions by proactively gathering, fusing, and sharing information, and for building coherent teams with both humans and agents working effectively on intelligence-intensive problems. Teamwork modeling is also challenging because the research has spanned diverse disciplines from business management to cognitive science, human discourse, and distributed artificial intelligence. This article presents an extensive, but not exhaustive, list of work in the field, where the taxonomy is organized along two main dimensions: team social structure and social behaviors. Along the dimension of social structure, we consider agent-only teams and mixed human-agent teams. Along the dimension of social behaviors, we consider collaborative behaviors, communicative behaviors, helping behaviors, and the underpinning of effective teamwork-shared mental models. The contribution of this article is that it presents an organizational framework for analyzing a variety of teamwork simulation systems and for further studying simulated teamwork behaviors.
Outdoor Leaders' Emotional Intelligence and Transformational Leadership
ERIC Educational Resources Information Center
Hayashi, Aya; Ewert, Alan
2006-01-01
This study explored the concept of outdoor leadership from the perspectives of emotional intelligence and transformational leadership. Levels of emotional intelligence, multifactor leadership, outdoor experience, and social desirability were examined using 46 individuals designated as outdoor leaders. The results revealed a number of unique…
Emotional intelligence and social interaction.
Lopes, Paulo N; Brackett, Marc A; Nezlek, John B; Schütz, Astrid; Sellin, Ina; Salovey, Peter
2004-08-01
Two studies found positive relationships between the ability to manage emotions and the quality of social interactions, supporting the predictive and incremental validity of an ability measure of emotional intelligence, the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). In a sample of 118 American college students (Study 1), higher scores on the managing emotions subscale of the MSCEIT were positively related to the quality of interactions with friends, evaluated separately by participants and two friends. In a diary study of social interaction with 103 German college students (Study 2), managing emotions scores were positively related to the perceived quality of interactions with opposite sex individuals. Scores on this subscale were also positively related to perceived success in impression management in social interactions with individuals of the opposite sex. In both studies, the main findings remained statistically significant after controlling for Big Five personality traits.
Buck, Benjamin; Minor, Kyle S; Lysaker, Paul H
2015-04-01
Social cognition and metacognition have been identified as important cognitive domains in schizophrenia, which are separable from general neurocognition and predictive of functional and treatment outcomes. However, one challenge to improved models of schizophrenia has been the conceptual overlap between the two. One tool used in previous research to develop cognitive models of psychopathology is language analysis. In this article we aimed to clarify distinctions between social cognition and metacognition in schizophrenia using computerized language software. Fifty-eight (n=58) individuals with schizophrenia completed the Metacognitive Assessment Scale Abbreviated and measures of social cognition using the Hinting, Eyes, BLERT and Picture Arrangement test. A lexical analysis of participants' speech using Language Inquiry and Word Count software was conducted to examine relative frequencies of word types. Lexical characteristics were examined for their relationships to social cognition and metacognition. We found that lexical characteristics indicative of cognitive complexity were significantly related to level of metacognitive capacity while social cognition was related to second-person pronoun use, articles, and prepositions, and pronoun use overall. The relationships between lexical variables and metacognition persisted after controlling for demographics, verbal intelligence, and overall word count, but the same was not true for social cognition. Our findings provided support for the view that metacognition requires more synthetic and complex verbal and linguistic operations, while social cognition is associated with the representation and clear identification of others. Copyright © 2014 Elsevier Inc. All rights reserved.
Zou, Jilin
2014-06-01
Prior studies indicate that trait emotional intelligence (EI) is associated negatively with loneliness. However, the mechanisms underlying the relationship are not clear. This study assessed whether both self-esteem and social support mediated the associations between trait EI and loneliness. 469 Chinese undergraduate participants whose age ranged from 18 to 23 years (208 women) were asked to complete four self-report questionnaires, including the Wong Law Emotional Intelligence Scale, the Social and Emotional Loneliness Scale, the Rosenberg Self-esteem Scale, and the Multi-Dimensional Scale of Perceived Social Support. Analyses indicated that self-esteem and social support fully mediated the associations between trait EI and loneliness. Effect contrasts indicated that the specific indirect effect through social support was significantly greater than that through self-esteem. Moreover, a multiple-group analysis indicated that no path differed significantly by sex. These results suggest that social support is more important than self-esteem in the association between trait EI and loneliness. Furthermore, both sexes appear to share the same mechanism underlying this association.
Menting, Barbara; Van Lier, Pol A C; Koot, Hans M; Pardini, Dustin; Loeber, Rolf
2016-02-01
Cognitive impulsivity may increase children's risk of developing delinquent behavior. However, the influence of cognitive impulsivity may depend on social environmental risk factors. This study examined the moderating effect of late childhood parenting behaviors and peer relations on the influence of children's cognitive impulsivity on delinquency development across adolescence and early adulthood, while taking possible interactions with intelligence also into account. Delinquent behavior of 412 boys from the Pittsburgh Youth Study was measured annually from ages 13 to 29 years with official arrest records. Cognitive impulsivity (neurocognitive test scores) and intelligence were assessed at age 12-13. Parenting behaviors (persistence of discipline, positive reinforcement, and parental knowledge), peer delinquency, and peer conventional activities were assessed between ages 10 and 13 years. Results showed that, while controlling for intelligence, the influence of youths' cognitive impulsivity on delinquency depended on their parents' behaviors. An interaction was found among cognitive impulsivity, intelligence, and peer delinquency, but instead of cognitive impulsivity, the effect of intelligence on delinquency was particularly moderated. Overall, findings suggest that when there was moderation, high cognitive impulsivity and low intelligence were associated with an increased probability for engaging in delinquency predominantly among boys in a good social environment, but not in a poor social environment.
Fluid intelligence and psychosocial outcome: from logical problem solving to social adaptation.
Huepe, David; Roca, María; Salas, Natalia; Canales-Johnson, Andrés; Rivera-Rei, Álvaro A; Zamorano, Leandro; Concepción, Aimée; Manes, Facundo; Ibañez, Agustín
2011-01-01
While fluid intelligence has proved to be central to executive functioning, logical reasoning and other frontal functions, the role of this ability in psychosocial adaptation has not been well characterized. A random-probabilistic sample of 2370 secondary school students completed measures of fluid intelligence (Raven's Progressive Matrices, RPM) and several measures of psychological adaptation: bullying (Delaware Bullying Questionnaire), domestic abuse of adolescents (Conflict Tactic Scale), drug intake (ONUDD), self-esteem (Rosenberg's Self Esteem Scale) and the Perceived Mental Health Scale (Spanish adaptation). Lower fluid intelligence scores were associated with physical violence, both in the role of victim and victimizer. Drug intake, especially cannabis, cocaine and inhalants and lower self-esteem were also associated with lower fluid intelligence. Finally, scores on the perceived mental health assessment were better when fluid intelligence scores were higher. Our results show evidence of a strong association between psychosocial adaptation and fluid intelligence, suggesting that the latter is not only central to executive functioning but also forms part of a more general capacity for adaptation to social contexts.
Fluid Intelligence and Psychosocial Outcome: From Logical Problem Solving to Social Adaptation
Huepe, David; Roca, María; Salas, Natalia; Canales-Johnson, Andrés; Rivera-Rei, Álvaro A.; Zamorano, Leandro; Concepción, Aimée; Manes, Facundo; Ibañez, Agustín
2011-01-01
Background While fluid intelligence has proved to be central to executive functioning, logical reasoning and other frontal functions, the role of this ability in psychosocial adaptation has not been well characterized. Methodology/Principal Findings A random-probabilistic sample of 2370 secondary school students completed measures of fluid intelligence (Raven's Progressive Matrices, RPM) and several measures of psychological adaptation: bullying (Delaware Bullying Questionnaire), domestic abuse of adolescents (Conflict Tactic Scale), drug intake (ONUDD), self-esteem (Rosenberg's Self Esteem Scale) and the Perceived Mental Health Scale (Spanish adaptation). Lower fluid intelligence scores were associated with physical violence, both in the role of victim and victimizer. Drug intake, especially cannabis, cocaine and inhalants and lower self-esteem were also associated with lower fluid intelligence. Finally, scores on the perceived mental health assessment were better when fluid intelligence scores were higher. Conclusions/Significance Our results show evidence of a strong association between psychosocial adaptation and fluid intelligence, suggesting that the latter is not only central to executive functioning but also forms part of a more general capacity for adaptation to social contexts. PMID:21957464
Work process and task-based design of intelligent assistance systems in German textile industry
NASA Astrophysics Data System (ADS)
Löhrer, M.; Ziesen, N.; Altepost, A.; Saggiomo, M.; Gloy, Y. S.
2017-10-01
The mid-sized embossed German textile industry must face social challenges e.g. demographic change or technical changing processes. Interaction with intelligent systems (on machines) and increasing automation changes processes, working structures and employees’ tasks on all levels. Work contents are getting more complex, resulting in the necessity for diversified and enhanced competencies. Mobile devices like tablets or smartphones are increasingly finding their way into the workplace. Employees who grew up with new forms of media have certain advantages regarding the usage of modern technologies compared to older employees. Therefore, it is necessary to design new systems which help to adapt the competencies of both younger and older employees to new automated production processes in the digital work environment. The key to successful integration of technical assistance systems is user-orientated design and development that includes concepts for competency development under consideration of, e.g., ethical and legal aspects.
ERIC Educational Resources Information Center
Kamin, Leon; Green, Winifred
This document comprises three presentations made on March 23 at a symposium sponsored by the Southern Regional Council focusing on Human Intelligence, Social Science and Social Policy. The first of the three parts of the document is the text of the principal presentation, made by Dr. Leon Kamin, Chariman of the Department of Psychology at…
Leading to Learning and Competitive Intelligence
ERIC Educational Resources Information Center
Luu, Trong Tuan
2013-01-01
Purpose: This research aims to examine whether there is the chain effect from corporate social responsibility (CSR) and emotional intelligence (EI) to organizational learning and competitive intelligence in chemical companies in a Vietnam business setting. Design/methodology/approach: Structural equation modeling (SEM) approach was used to analyze…
A Study on Intelligence of High School Students
ERIC Educational Resources Information Center
Rani, M. Usha; Prakash, Srinivasan
2015-01-01
Intelligence involves the ability to think, solve problems, analyze situations, and understand social values, customs, and norms. Intelligence is a general mental capability that involves the ability to reason, plan, think abstractly, comprehend ideas and language, and learn. Intellectual ability involves comprehension, understanding, and learning…
Emotional Intelligence and Nursing Student Retention
ERIC Educational Resources Information Center
Wilson, Victoria Jane
2013-01-01
The study examined the constructs of a Multi-Intelligence Model of Retention with four constructs: cognitive and emotional-social intelligence, student characteristics, and environmental factors. Data were obtained from sophomore students entering two diploma, nine associate, and five baccalaureate nursing programs. One year later, retention and…
On the use of multi-agent systems for the monitoring of industrial systems
NASA Astrophysics Data System (ADS)
Rezki, Nafissa; Kazar, Okba; Mouss, Leila Hayet; Kahloul, Laid; Rezki, Djamil
2016-03-01
The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex process monitoring tasks that are: detection, diagnosis, identification and reconfiguration. For this purpose, the development of a multi-agent system that combines multiple intelligences such as: multivariate control charts, neural networks, Bayesian networks and expert systems has became a necessity. The proposed system is evaluated in the monitoring of the complex process Tennessee Eastman process.
The next public health revolution: public health information fusion and social networks.
Khan, Ali S; Fleischauer, Aaron; Casani, Julie; Groseclose, Samuel L
2010-07-01
Social, political, and economic disruptions caused by natural and human-caused public health emergencies have catalyzed public health efforts to expand the scope of biosurveillance and increase the timeliness, quality, and comprehensiveness of disease detection, alerting, response, and prediction. Unfortunately, efforts to acquire, render, and visualize the diversity of health intelligence information are hindered by its wide distribution across disparate fields, multiple levels of government, and the complex interagency environment. Achieving this new level of situation awareness within public health will require a fundamental cultural shift in methods of acquiring, analyzing, and disseminating information. The notion of information "fusion" may provide opportunities to expand data access, analysis, and information exchange to better inform public health action.
The Next Public Health Revolution: Public Health Information Fusion and Social Networks
Fleischauer, Aaron; Casani, Julie; Groseclose, Samuel L.
2010-01-01
Social, political, and economic disruptions caused by natural and human-caused public health emergencies have catalyzed public health efforts to expand the scope of biosurveillance and increase the timeliness, quality, and comprehensiveness of disease detection, alerting, response, and prediction. Unfortunately, efforts to acquire, render, and visualize the diversity of health intelligence information are hindered by its wide distribution across disparate fields, multiple levels of government, and the complex interagency environment. Achieving this new level of situation awareness within public health will require a fundamental cultural shift in methods of acquiring, analyzing, and disseminating information. The notion of information “fusion” may provide opportunities to expand data access, analysis, and information exchange to better inform public health action. PMID:20530760
ERIC Educational Resources Information Center
Hassiotis, A.; Strydom, A.; Hall, I.; Ali, A.; Lawrence-Smith, G.; Meltzer, H.; Head, J; Bebbington, P.
2008-01-01
Background: Approximately one-eighth of the population will have DSM-IV borderline intelligence. Various mental disorders and social disability are associated with it. Method: The paper uses data (secondary analysis) from a UK-wide cross-sectional survey of 8450 adults living in private households. Data were collected on psychiatric disorders,…
Emotional Intelligence and Social Responsibility of Boy Students in Middle School
ERIC Educational Resources Information Center
Moradi Sheykhjan, Tohid; Jabari, Kamran; K, Rajeswari
2014-01-01
The present study has been undertaken to know the relationship between emotional intelligence and social responsibility of boy students in middle school using correlation. Survey method was adopted for the study. Data were collected from 100 boy students studying in Miandoab City of Iran during the academic year, 2012-13 who were selected…
Integrating Social Sciences and Intelligence
2008-01-01
considered controversial. The American Anthropological Association has demonstrated disdain for HTTs stating that the Army program violates the AAA...demonstrated the great need for socio-cultural understanding. Human Terrain Teams are aiding brigades and regiments in Iraq and Afghanistan and...Champion 1 Integrating Social Sciences and Intelligence By 2LT Lindsey Champion Army leaders recognize the importance of socio
Social Intelligence of Principals and Its Relationship with Creative Behavior
ERIC Educational Resources Information Center
Kriemeen, Hani; Hajaia, Sulaiman
2017-01-01
The study aimed at investigating the level of the social intelligence among the male and female principals in Tafila Governorate from the teachers views and its relationship with creative behavior. The sample consisted of 190 male and female teachers chosen randomly. For achieving the goals of the study, the researchers developed two instruments,…
1992-12-01
factory; Berry and Irvine (1986) document bricolage , which is roughly equivalent to handyman skills, within primitive cultures. Both these studies are...decoding of nonverbal cues. Intelligence, ;J, 263-287. Berry, J. W., & Irvine, S. H. (1986). Bricolage : Savages do it daily. In Sternberg, R., & Wagner
ERIC Educational Resources Information Center
Rahman, Muhammad Sabbir; Mannan, Mahafuz; Rahman, Mohammad Mahboob
2018-01-01
Purpose: From the perspective of developing countries, studies regarding the behavioral effects of quitting tobacco consumption on emerging psychological determinants are limited. The purpose of this paper is to examine the influence of emotional intelligence (EI), social norms, susceptibility and self-efficacy on the behavioral effects of…
ERIC Educational Resources Information Center
Larin, Helene; Benson, Gerry; Wessel, Jean; Martin, Lynn; Ploeg, Jenny
2014-01-01
In addition to having academic knowledge and clinical skills, health professionals need to be caring, ethical practitioners able to understand the emotional concerns of their patients and to effect change. The purpose of this study was to determine whether emotional-social intelligence, caring, leadership and moral judgment of health science…
ERIC Educational Resources Information Center
Han, Heeyoung; Johnson, Scott D.
2012-01-01
The purpose of the study was to investigate the relationship between students' emotional intelligence, social bond, and their interactions in an online learning environment. The research setting in this study was a 100% online master's degree program within a university located in the Midwest of the United States. Eighty-four students participated…
The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges
ERIC Educational Resources Information Center
Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek
2009-01-01
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…
Dimensions of Intelligent Systems
2002-08-01
Keywords: IS, Intelligent Systems, Turing Test, Cognitive Model, situated cognition, BDI, Deep Blue, constructionism 1: Introduction Investigation of...Our social experience provides an implicit, observer bias to assign mentality and intentions to the system in a test and many would argue that...extended the intentional notions of Belief, Desire, and Intention (BDI ) to include social “properties” of Value6
Using Emotional Intelligence and Social Support to Predict Job Performance of Health Educators
ERIC Educational Resources Information Center
Branscum, Paul; Haider, Taj; Brown, David; Sharma, Manoj
2016-01-01
Background: The theory of emotional intelligence (EI) has been developed to evaluate and highlight the importance of emotional health, especially on job performance. Purpose: No study has examined EI's role on the performance of public health educators; therefore, this study examined the role of EI and social support on the performance of health…
Eussen, Mart L J M; Van Gool, Arthur R; Verheij, Fop; De Nijs, Pieter F A; Verhulst, Frank C; Greaves-Lord, Kirstin
2013-11-01
Limited quality of social relations, milder symptom severity and higher intelligence were shown to account for higher anxiety levels in autism spectrum disorders. The current study replicated and extended earlier findings by combining these three determinants of anxiety in autism spectrum disorders in one study. The sample consisted of 134 school-aged children with autism spectrum disorders, of whom 58 (43%) had a co-morbid anxiety disorder according to the Diagnostic Interview Schedule for Children-Parent version. In this sample, we tested associations between these determinants and anxiety univariately and multivariately to clarify the unique contribution of all determinants. Since we hypothesized that the association between limited quality of social relations and anxiety would be amplified by low symptom severity and/or high intelligence, we additionally tested for moderating effects. We found that higher anxiety levels were associated with a lower quality of social relations and lower symptom severity. In this mainly high-functioning sample, intelligence was not related to anxiety levels. No moderation effects were found. Since lower quality of social relations and lower symptom severity are associated with higher anxiety levels in children with autism spectrum disorders, therapeutic interventions aimed at reducing anxiety in autism spectrum disorders should pay attention to improving social relations, and presumably children with a lower symptom severity could benefit most from such interventions.
Artificial Intelligence Applications to High-Technology Training.
ERIC Educational Resources Information Center
Dede, Christopher
1987-01-01
Discusses the use of artificial intelligence to improve occupational instruction in complex subjects with high performance goals, such as those required for high-technology jobs. Highlights include intelligent computer assisted instruction, examples in space technology training, intelligent simulation environments, and the need for adult training…
2010-05-21
Treverton and C. Bryan Gabbard , "Assessing the Tradecraft of Intelligence Analysis," RAND, National Security Research Division, 2008, http...establish Intelligence School broad accreditation guidelines as has the ABA for accredited law schools. Treverton and Gabbard observe...60 Treverton and Gabbard , 38. 61 Huntington, 9. 62 ICD 203. 22 intelligence organization. The third social
Marsh, Pamela; Langdon, Robyn; McGuire, Jonathan; Harris, Anthony; Polito, Vince; Coltheart, Max
2013-04-01
Social cognition is profoundly impaired in patients with schizophrenia. This study describes 'Mental-State Reasoning Training for Social Cognitive Impairment' (SoCog-MSRT), a 5-week program developed to improve social cognition in patients with schizophrenia. We aimed to investigate the feasibility of implementing SoCog-MSRT in a rehabilitation setting and to evaluate whether our training methods produced improvements. METHOD The feasibility and benefits of SoCog-MSRT were evaluated in an open clinical trial with 14 participants with schizophrenia or schizoaffective disorder. Training comprised 10 twice-weekly sessions, for 5 weeks, with a pre- and post-training assessment. There were significant improvements on: (a) a classic false-belief test of Theory of Mind (ToM); (b) inferring complex mental states from the eyes; and (c) a self-reported measure of social understanding. Some of these improvements were associated with baseline levels of working memory and premorbid Intelligence Quotient (IQ). CONCLUSIONS SoCog-MSRT can improve ToM abilities and social understanding, but individuals with poorer working memory and lower premorbid IQ may be less able to benefit from this type of training.
ERIC Educational Resources Information Center
Behnke, Carl; Greenan, James P.
2011-01-01
This study examined the relationship between postsecondary students' emotional-social intelligence and attitudes toward computer-based instructional materials. Research indicated that emotions and emotional intelligence directly impact motivation, while instructional design has been shown to impact student attitudes and subsequent engagement with…
ERIC Educational Resources Information Center
Behnke, Carl Alan
2009-01-01
The purpose of this study was to examine the relationship between postsecondary students' emotional-social intelligence and attitudes toward computer-based instructional materials. Research indicated that emotions and emotional intelligence directly impact motivation, while instructional design has been shown to impact student attitudes and…
Why Liberals and Atheists Are More Intelligent
ERIC Educational Resources Information Center
Kanazawa, Satoshi
2010-01-01
The origin of values and preferences is an unresolved theoretical question in behavioral and social sciences. The Savanna-IQ Interaction Hypothesis, derived from the Savanna Principle and a theory of the evolution of general intelligence, suggests that more intelligent individuals may be more likely to acquire and espouse evolutionarily novel…
The Personal Intelligences: Promoting Social and Emotional Learning.
ERIC Educational Resources Information Center
Ellison, Launa
This book blends two of the multiple intelligences (intrapersonal and interpersonal) with current research on the brain and learning to create a new foundation for K-8 classrooms. It shares a teacher's classroom practices linking brain functions with the development of interpersonal and intrapersonal intelligence. Nine chapters include (1)…
Emotional Intelligence. Why It Can Matter More than IQ.
ERIC Educational Resources Information Center
Goleman, Daniel
1996-01-01
Because school success is predicted largely by emotional and social measures, teachers and parents cannot start too early in helping children develop their emotional intelligence. The paper describes emotional intelligence, discusses how to teach it, and presents resources for learning how other schools are helping students build emotional…
A Note on Systems Intelligence in Knowledge Management
ERIC Educational Resources Information Center
Sasaki, Yasuo
2017-01-01
Purpose: This paper aims to show that systems intelligence (SI) can be a useful perspective in knowledge management, particularly in the context of the socialization, externalization, combination and internalization (SECI) model. SI is a recently developed systemic concept, a certain kind of human intelligence based on a systems thinking…
Infant developmental milestones and adult intelligence: A 34-year follow-up.
Flensborg-Madsen, Trine; Mortensen, Erik Lykke
2015-07-01
A number of studies suggest a positive association between faster infant motor development and intellectual function in childhood and adolescence. However, studies investigating the relationship between infant motor development and intelligence in adulthood are lacking. To investigate whether age at achievement of 12 motor developmental milestones was associated with adult intelligence and to evaluate the influence of sex, parental social status, parity, mother's cigarette consumption in the last trimester, gestational age, birthweight, and birth length on this association. Mothers of 9125 children of the Copenhagen Perinatal Cohort recorded 12 developmental milestones during the child's first year of life. A subsample of the cohort comprising 1155 individuals participated in a follow-up when they were aged 20-34 years and were administered the Wechsler Adult Intelligence Scale (WAIS). Associations between motor developmental milestones and IQ were analysed by multiple linear regression adjusting for potential confounding factors. Later acquisition of infant developmental milestones was associated with lower subsequent IQ, and the majority of significant associations were found for Performance IQ. Correlations were generally small (r < 0.10), but significant interactions were found between parental social status and age of attaining developmental milestones, with associations being significantly stronger in the offspring of lower social status parents. The effects remained significant after adjusting for possible confounding factors. This is the first study to find significant interactions with parental social status, thereby suggesting that associations between early motor development and intelligence are stronger in infants of low social status parents. Copyright © 2015 Elsevier B.V. All rights reserved.
Social Intelligence in a Human-Machine Collaboration System
NASA Astrophysics Data System (ADS)
Nakajima, Hiroshi; Morishima, Yasunori; Yamada, Ryota; Brave, Scott; Maldonado, Heidy; Nass, Clifford; Kawaji, Shigeyasu
In this information society of today, it is often argued that it is necessary to create a new way of human-machine interaction. In this paper, an agent with social response capabilities has been developed to achieve this goal. There are two kinds of information that is exchanged by two entities: objective and functional information (e.g., facts, requests, states of matters, etc.) and subjective information (e.g., feelings, sense of relationship, etc.). Traditional interactive systems have been designed to handle the former kind of information. In contrast, in this study social agents handling the latter type of information are presented. The current study focuses on sociality of the agent from the view point of Media Equation theory. This article discusses the definition, importance, and benefits of social intelligence as agent technology and argues that social intelligence has a potential to enhance the user's perception of the system, which in turn can lead to improvements of the system's performance. In order to implement social intelligence in the agent, a mind model has been developed to render affective expressions and personality of the agent. The mind model has been implemented in a human-machine collaborative learning system. One differentiating feature of the collaborative learning system is that it has an agent that performs as a co-learner with which the user interacts during the learning session. The mind model controls the social behaviors of the agent, thus making it possible for the user to have more social interactions with the agent. The experiment with the system suggested that a greater degree of learning was achieved when the students worked with the co-learner agent and that the co-learner agent with the mind model that expressed emotions resulted in a more positive attitude toward the system.
Ng, Rowena; Järvinen, Anna; Bellugi, Ursula
2014-01-01
Williams syndrome (WS) is a neurogenetic disorder known for its “hypersocial” phenotype and a complex profile of anxieties. The anxieties are poorly understood specifically in relation to the social-emotional and cognitive profiles. To address this gap, we employed a Wechsler intelligence test, the Brief Symptom Inventory, Beck Anxiety Inventory, and Salk Institute Sociability Questionnaire, to (1) examine how anxiety symptoms distinguish individuals with WS from typically developing (TD) individuals; and (2) assess the associations between three key phenotypic features of WS: intellectual impairment, social-emotional functioning, and anxiety. The results highlighted intensified neurophysiological symptoms and subjective experiences of anxiety in WS. Moreover, whereas higher cognitive ability was positively associated with anxiety in WS, the opposite pattern characterized the TD individuals. This study provides novel insight into how the three core phenotypic features associate/dissociate in WS, specifically in terms of the contribution of cognitive and emotional functioning to anxiety symptoms. PMID:24973548
Discriminative facility and its role in the perceived quality of interactional experiences.
Cheng, C; Chiu, C Y; Hong, Y Y; Cheung, J S
2001-10-01
Discriminative facility refers to an individual's sensitivity to subtle cues about the psychological meaning of a situation. This research aimed at examining (a) the conceptual distinctiveness of discriminative facility, (b) the situation-appropriate aspect of this construct, and (c) the relationship between discriminative facility and interpersonal experiences. Discriminative facility was assessed by a new measure of situation-appropriate behaviors across a variety of novel stressful situations. Results from study 1 showed that discriminative facility had weak positive relationships with cognitive complexity and nonsignificant relationships with self-monitoring and social desirability, indicating that discriminative facility is a unique construct. Results from Study 2 revealed that higher levels of discriminative facility were associated with higher levels of perceived social support and a greater number of pleasant interpersonal events experienced, thus providing support for the theoretical proposition that discriminative facility is an aspect of social intelligence.
Attacked ravens flexibly adjust signalling behaviour according to audience composition.
Szipl, Georgine; Ringler, Eva; Bugnyar, Thomas
2018-06-13
A fundamental attribute of social intelligence is the ability to monitor third-party relationships, which has been repeatedly demonstrated in primates, and recently also in captive ravens. It is yet unknown how ravens make use of this ability when dealing with different types of social relationships simultaneously during complex real-life situations. Free-ranging non-breeder ravens live in societies characterized by high fission-fusion dynamics and structured by age, pair-bond status and kinship. Here, we show that free-ranging ravens modify communication during conflicts according to audience composition. When being attacked by dominant conspecifics, victims of aggression signal their distress via defensive calls. Victims increased call rates when their kin were in the bystander audience, but reduced call rates when the bystanders were bonding partners of their aggressors. Hence, ravens use social knowledge flexibly and probably based on their own need (i.e. alert nearby allies and avoid alerting nearby rivals). © 2018 The Authors.
Intelligent building system for airport
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ancevic, M.
1997-11-01
The Munich airport uses a state-of-the-art intelligent building management system to control systems such as HVAC, runway lights, baggage handling, etc. Planning the new Munich II international airport provided a unique opportunity to use the latest state-of-the-art technical systems, while integrating their control through a single intelligent building management system. Opened in 1992, the airport is Germany`s second-largest airport after Frankfurt. The airport is staffed by 16,000 employees and can handle 17 million passengers a year. The sprawling site encompasses more than 120 buildings. The airport`s distributed control system is specifically designed to optimize the complex`s unique range of functions,more » while providing a high degree of comfort, convenience and safety for airport visitors. With the capacity to control 200,000 points, this system controls more than 112,000 points and integrates 13 major subsystems from nine different vendors. It provides convenient, accessible control of everything including the complex`s power plant, HVAC Control, the terminal`s people-moving functions, interior lighting controls, runway lights, baggage forwarding systems, elevators, and boarding bridges. The airport was named 1993 intelligent building of the year by the Intelligent Buildings Institute Foundation. Its building management system is a striking example of the degree to which a building complex`s functions can be integrated for greater operational control and efficiency.« less
REPORT ON THE ARTICULATORY AND INTELLIGIBILITY STATUS OF SOCIALLY DISADVANTAGED PRE-SCHOOL CHILDREN.
ERIC Educational Resources Information Center
FRIEDLANDER, GEORGE H.
THIS STUDY OF THE ARTICULATORY AND INTELLIGIBILITY LEVEL OF A SOCIALLY DISADVANTAGED GROUP OF CHILDREN IN THE HEAD START PROGRAM INVOLVED 150 CHILDREN, 4 1/2 - 6 YEARS OF AGE, WITH EQUAL NUMBERS OF BOYS AND GIRLS. THIS GROUP WAS COMPOSED OF CHILDREN OF FAMILIES WITH SPANISH LANGUAGE BACKGROUND, OF CHILDREN OF NATIVE NEGRO FAMILIES, AND OF CHILDREN…
ERIC Educational Resources Information Center
Eussen, Mart L. J. M.; Van Gool, Arthur R.; Verheij, Fop; De Nijs, Pieter F. A.; Verhulst, Frank C.; Greaves-Lord, Kirstin
2013-01-01
Limited quality of social relations, milder symptom severity and higher intelligence were shown to account for higher anxiety levels in autism spectrum disorders. The current study replicated and extended earlier findings by combining these three determinants of anxiety in autism spectrum disorders in one study. The sample consisted of 134…
Collaborative Decision Making in METOC
2002-01-01
desired effect (Eagly, & Chaiken, 1993). Arguably, artificial intelligence is representative of the best of approaches in rational decision - making ...2001), The quantum of social action and the function of emotion in decision - making , Emotional and Intelligent II: The Tangled Knot of Social...Collaborative decision making in METOC W.F. Lawless Paine College, Departments of Mathematics and Psychology Augusta, GA 30901-3182 ph: 706
The mismeasure of ape social cognition.
Leavens, David A; Bard, Kim A; Hopkins, William D
2017-08-04
In his classic analysis, Gould (The mismeasure of man, WW Norton, New York, 1981) demolished the idea that intelligence was an inherent, genetic trait of different human groups by emphasizing, among other things, (a) its sensitivity to environmental input, (b) the incommensurate pre-test preparation of different human groups, and (c) the inadequacy of the testing contexts, in many cases. According to Gould, the root cause of these oversights was confirmation bias by psychometricians, an unwarranted commitment to the idea that intelligence was a fixed, immutable quality of people. By virtue of a similar, systemic interpretive bias, in the last two decades, numerous contemporary researchers in comparative psychology have claimed human superiority over apes in social intelligence, based on two-group comparisons between postindustrial, Western Europeans and captive apes, where the apes have been isolated from European styles of social interaction, and tested with radically different procedures. Moreover, direct comparisons of humans with apes suffer from pervasive lapses in argumentation: Research designs in wide contemporary use are inherently mute about the underlying psychological causes of overt behavior. Here we analyze these problems and offer a more fruitful approach to the comparative study of social intelligence, which focuses on specific individual learning histories in specific ecological circumstances.
What Factors Influence Well-being of Students on Performing Small Group Discussion?
NASA Astrophysics Data System (ADS)
Wulanyani, N. M. S.; Vembriati, N.
2018-01-01
Generally, Faculty of Medicine of Udayana University applied Small Group Discussion (SGD) in its learning process. If group problem solving succeeds, each individual of the group will individually succeed. However, the success is also determined by each individual’s level of psychological well-being. When the students are in the high level of wellbeing, they will feel comfortable in small group discussion, and teamwork will be effective. Therefore, it is needed to conduct a research which investigates how psychological factors, such as traits, needs, cognitive, and social intelligence, influence students’ wellbeing in performing SGD. This research is also initiated by several cases of students who prefer individual learning and take SGD merely to fulfill attendance requirement. If the students have good wellbeing, they will take the SGD process optimally. The subject of this research was 100 students of Faculty of Medicine of Udayana University. This survey research used psychological test assessment, Psychological well-being scale, and Social Intelligence scale to gain data analyzed quantitatively. The results showed that all aspects of traits together with aspects ‘need for rules and supervision’ affect social intelligence. Furthermore, social intelligence factor with cognitive factors influence wellbeing of the students in the process of SGD.
ERIC Educational Resources Information Center
Day, Eric Anthony; Arthur, Winfred Jr.; Bell, Suzanne T.; Edwards, Bryan D.; Bennett, Winston Jr.; Mendoza, Jorge L.; Tubre, Travis C.
2005-01-01
Intelligence researchers traditionally focus their attention on the individual level and overlook the role of intelligence at the interindividual level. This research investigated the interplay of the effects of intelligence at the individual and interindividual levels by manipulating the intelligence-based composition of dyadic training teams.…
Ioannou, Christos C
2017-08-01
Larger groups often have a greater ability to solve cognitive tasks compared to smaller ones or lone individuals. This is well established in social insects, navigating flocks of birds, and in groups of prey collectively vigilant for predators. Research in social insects has convincingly shown that improved cognitive performance can arise from self-organised local interactions between individuals that integrates their contributions, often referred to as swarm intelligence. This emergent collective intelligence has gained in popularity and been directly applied to groups of other animals, including fish. Despite being a likely mechanism at least partially explaining group performance in vertebrates, I argue here that other possible explanations are rarely ruled out in empirical studies. Hence, evidence for self-organised collective (or 'swarm') intelligence in fish is not as strong as it would first appear. These other explanations, the 'pool-of-competence' and the greater cognitive ability of individuals when in larger groups, are also reviewed. Also discussed is why improved group performance in general may be less often observed in animals such as shoaling fish compared to social insects. This review intends to highlight the difficulties in exploring collective intelligence in animal groups, ideally leading to further empirical work to illuminate these issues. Copyright © 2016 The Author. Published by Elsevier B.V. All rights reserved.
Improvement in intelligence test scores from 6 to 10 years in children of teenage mothers.
Cornelius, Marie D; Goldschmidt, Lidush; De Genna, Natacha M; Richardson, Gale A; Leech, Sharon L; Day, Richard
2010-06-01
This study investigates change in IQ scores among 290 children born to teenage mothers and identifies social, economic, and environmental variables that may be associated with change in intelligence test performance. The children of 290 teenage mothers (72% African-American and 28% European American) were assessed with the Stanford-Binet Intelligence Scale-4th Edition at ages 6 and 10. The mean composite score at age 6 was 84.8 and 91.2 at age 10, an improvement of 6.4 points. Significant cross-sectional predictors at both ages 6 and 10 of higher Stanford-Binet Intelligence Scale scores were maternal cognitive ability, school grade, white ethnicity, and caregiver education. Having more children in the household significantly predicted lower Stanford-Binet Intelligence Scale scores at age 6. Higher satisfaction with maternal social support predicted higher Stanford-Binet Intelligence Scale scores at age 10. Change in IQ scores was not related to maternal socioeconomic status, social support, home environment, ethnicity, or family interactions. Custodial stability was associated with an improvement in IQ scores, whereas increase in caregiver depression was related to decline in IQ scores. Our findings suggest that improvement in IQ scores of offspring of teenage mothers may be related to stability of maternal custody. More research is needed to determine the impact of the maturation of adolescent mothers' parenting and the role of early education on improvement in cognitive abilities.
Bilingualism, social cognition and executive functions: A tale of chickens and eggs.
Cox, Simon R; Bak, Thomas H; Allerhand, Michael; Redmond, Paul; Starr, John M; Deary, Ian J; MacPherson, Sarah E
2016-10-01
The influence of bilingualism on cognitive functioning is currently a topic of intense scientific debate. The strongest evidence for a cognitive benefit of bilingualism has been demonstrated in executive functions. However, the causal direction of the relationship remains unclear: does learning other languages improve executive functions or are people with better executive abilities more likely to become bilingual? To address this, we examined 90 male participants of the Lothian Birth Cohort 1936; 26 were bilingual, 64 monolingual. All participants underwent an intelligence test at age 11 years and were assessed on a wide range of executive and social cognition tasks at age 74. The only notable differences between both groups were found for the Simon Effect (which indexes stimulus-response conflict resolution; β=-.518, p=0.025) and a trend effect for the Faux Pas task (a measure of complex theory of mind; ToM, β=0.432, p=0.060). Controlling for the influence of childhood intelligence, parental and own social class significantly attenuated the bilingual advantage on the Faux Pas test (β=0.058, p=0.816), whereas the Simon task advantage remained (β=-.589, p=0.049). We find some weak evidence that the relationship between bilingualism and cognitive functions may be selective and bi-directional. Pre-existing cognitive and social class differences from childhood may influence both ToM ability in older age and the likelihood of learning another language; yet, bilingualism does not appear to independently contribute to Faux Pas score. Conversely, learning a second language is related to better conflict processing, irrespective of initial childhood ability or social class. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.
Gale, Catharine R; Booth, Tom; Starr, John M; Deary, Ian J
2016-01-01
Background Information on childhood determinants of frailty or allostatic load in later life is sparse. We investigated whether lower intelligence and greater socioeconomic disadvantage in childhood increased the risk of frailty and higher allostatic load, and explored the mediating roles of adult socioeconomic position, educational attainment and health behaviours. Methods Participants were 876 members of the Lothian Birth Cohort 1936 whose intelligence was assessed at age 11. At age 70, frailty was assessed using the Fried criteria. Measurements were made of fibrinogen, triglyceride, total and high-density lipoprotein cholesterol, albumin, glycated haemoglobin, C reactive protein, body mass index and blood pressure, from which an allostatic load score was calculated. Results In sex-adjusted analyses, lower intelligence and lower social class in childhood were associated with an increased risk of frailty: relative risks (95% CIs) were 1.57 (1.21 to 2.03) for a SD decrease in intelligence and 1.48 (1.12 to 1.96) for a category decrease in social class. In the fully adjusted model, both associations ceased to be significant: relative risks were 1.13 (0.83 to 1.54) and 1.19 (0.86 to 1.61), respectively. Educational attainment had a significant mediating effect. Lower childhood intelligence in childhood, but not social class, was associated with higher allostatic load. The sex-adjusted coefficient for allostatic load for a SD decrease in intelligence was 0.10 (0.07 to 0.14). In the fully adjusted model, this association was attenuated but remained significant (0.05 (0.01 to 0.09)). Conclusions Further research will need to investigate the mechanisms whereby lower childhood intelligence is linked to higher allostatic load in later life. PMID:26700299
Social dysfunction in bipolar disorder: pilot study.
de Almeida Rocca, Cristiana Castanho; de Macedo-Soares, Marcia Britto; Gorenstein, Clarice; Tamada, Renata Sayuri; Issler, Cilly Kluger; Dias, Rodrigo Silva; Schwartzmann, Angela Maria; Lafer, Beny
2008-08-01
The purpose of the present study was to assess the social skills of euthymic patients with bipolar disorder. A group of 25 outpatients with bipolar disorder type I were evaluated in comparison with a group of 31 healthy volunteers who were matched in terms of level of education, age, sex and intelligence. Both groups were assessed using a self-report questionnaire, the Brazilian Inventario de Habilidades Sociais (IHS, Social Skills Inventory). Two Wechsler Adult Intelligence Scale subtests (Picture Arrangement and Comprehension) were also used in order to assess subject ability to analyse social situations and to make judgements, respectively. Patients with bipolar disorder had lower IHS scores for the domains that assessed conversational skills/social self-confidence and social openness to new people/situations. Patients with anxiety disorders had high scores for the domain that assessed self-confidence in the expression of positive emotions. No differences were found between patients and controls in performance on the Wechsler Adult Intelligence Scale Picture Arrangement and Comprehension subtests. Euthymic patients with bipolar disorder present inhibited and overattentive behaviour in relation to other people and their environment. This behaviour might have a negative impact on their level of social functioning and quality of life.
Socially intelligent robots: dimensions of human-robot interaction.
Dautenhahn, Kerstin
2007-04-29
Social intelligence in robots has a quite recent history in artificial intelligence and robotics. However, it has become increasingly apparent that social and interactive skills are necessary requirements in many application areas and contexts where robots need to interact and collaborate with other robots or humans. Research on human-robot interaction (HRI) poses many challenges regarding the nature of interactivity and 'social behaviour' in robot and humans. The first part of this paper addresses dimensions of HRI, discussing requirements on social skills for robots and introducing the conceptual space of HRI studies. In order to illustrate these concepts, two examples of HRI research are presented. First, research is surveyed which investigates the development of a cognitive robot companion. The aim of this work is to develop social rules for robot behaviour (a 'robotiquette') that is comfortable and acceptable to humans. Second, robots are discussed as possible educational or therapeutic toys for children with autism. The concept of interactive emergence in human-child interactions is highlighted. Different types of play among children are discussed in the light of their potential investigation in human-robot experiments. The paper concludes by examining different paradigms regarding 'social relationships' of robots and people interacting with them.
Intelligent Agent Architectures: Reactive Planning Testbed
NASA Technical Reports Server (NTRS)
Rosenschein, Stanley J.; Kahn, Philip
1993-01-01
An Integrated Agent Architecture (IAA) is a framework or paradigm for constructing intelligent agents. Intelligent agents are collections of sensors, computers, and effectors that interact with their environments in real time in goal-directed ways. Because of the complexity involved in designing intelligent agents, it has been found useful to approach the construction of agents with some organizing principle, theory, or paradigm that gives shape to the agent's components and structures their relationships. Given the wide variety of approaches being taken in the field, the question naturally arises: Is there a way to compare and evaluate these approaches? The purpose of the present work is to develop common benchmark tasks and evaluation metrics to which intelligent agents, including complex robotic agents, constructed using various architectural approaches can be subjected.
Behavioral Competence as a Positive Youth Development Construct: A Conceptual Review
Ma, Hing Keung
2012-01-01
Behavioral competence is delineated in terms of four parameters: (a) Moral and Social Knowledge, (b) Social Skills, (c) Positive Characters and Positive Attributes, and (d) Behavioral Decision Process and Action Taking. Since Ma's other papers in this special issue have already discussed the moral and social knowledge as well as the social skills associated in detail, this paper focuses on the last two parameters. It is hypothesized that the following twelve positive characters are highly related to behavioral competence: humanity, intelligence, courage, conscience, autonomy, respect, responsibility, naturalness, loyalty, humility, assertiveness, and perseverance. Large-scale empirical future studies should be conducted to substantiate the predictive validity of the complete set of these positive characters. The whole judgment and behavioral decision process is constructed based on the information processing approach. The direction of future studies should focus more on the complex input, central control, and output subprocesses and the interactions among these sub-processes. The understanding of the formation of behavior is crucial to whole-person education and positive youth development. PMID:22645434
Information and communication technology solutions for outdoor navigation in dementia.
Teipel, Stefan; Babiloni, Claudio; Hoey, Jesse; Kaye, Jeffrey; Kirste, Thomas; Burmeister, Oliver K
2016-06-01
Information and communication technology (ICT) is potentially mature enough to empower outdoor and social activities in dementia. However, actual ICT-based devices have limited functionality and impact, mainly limited to safety. What is an ideal operational framework to enhance this field to support outdoor and social activities? Review of literature and cross-disciplinary expert discussion. A situation-aware ICT requires a flexible fine-tuning by stakeholders of system usability and complexity of function, and of user safety and autonomy. It should operate by artificial intelligence/machine learning and should reflect harmonized stakeholder values, social context, and user residual cognitive functions. ICT services should be proposed at the prodromal stage of dementia and should be carefully validated within the life space of users in terms of quality of life, social activities, and costs. The operational framework has the potential to produce ICT and services with high clinical impact but requires substantial investment. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Shuster, Claudia
Noting that linguistic intelligence is often the primary focus of teaching young children, this paper examines the relationship between children's learning and their social-emotional development. The paper first describes the preschools of Reggio Emilia and the theory of multiple intelligences. The paper then synthesizes research on children's…
ERIC Educational Resources Information Center
Jonsson, Anna-Carin; Beach, Dennis; Korp, Helena; Erlandson, Peter
2012-01-01
A sample of 226 Swedish high school teachers from various knowledge domains completed self-report measures of intelligence regarding implicit theories and scientific theories of intelligence. A mixed ANOVA showed that teachers from language, social science and practical disciplines had a significant preference for an incremental theory of…
Young Children's Role-Playing for Enhancing Personal Intelligences in Multiple Intelligences Theory
ERIC Educational Resources Information Center
Wee, Su-Jeong; Shin, Hwa-Sik; Kim, Myung-Hee
2013-01-01
This article examines young children's role-play in an effort to develop methods with which teachers can enhance children's interpersonal and intrapersonal intelligences. Examining how MI practice is applied in different cultural and social contexts is important because it can provide new insights on enriching and enhancing curricula and…
Increasing Awareness of Emotional Intelligence in a Business Curriculum
ERIC Educational Resources Information Center
Myers, Laura L.; Tucker, Mary L.
2005-01-01
Emotional intelligence (EI) is a type of social intelligence that involves the ability to monitor one's own and others' emotions, to discriminate among them, and to use the information to guide one's thinking and actions. EI theory provides another venue for business communication faculty in presenting the importance of how students can…
Measures of Emotional Intelligence and Social Acceptability in Children: A Concurrent Validity Study
ERIC Educational Resources Information Center
Windingstad, Sunny; McCallum, R. Steve; Bell, Sherry Mee; Dunn, Patrick
2011-01-01
The concurrent validity of two measures of Emotional Intelligence (EI), one considered a trait measure, the other an ability measure, was examined by administering the Emotional Quotient Inventory: Youth Version (EQi:YV; Bar-On & Parker, 2000), the Mayer-Salovey-Caruso Emotional Intelligence Test: Youth Version (MSCEIT:YV; Mayer, Salovey, &…
ERIC Educational Resources Information Center
Kearney, W. Sean; Kelsey, Cheryl; Sinkfield, Carolin
2014-01-01
This study measures the impact of targeted interventions on the emotional intelligence of aspiring principals. The interventions utilized were designed by Nelson and Low (2011) to increase emotionally intelligent leadership skills in the following six areas: social awareness/active listening; anxiety management; decision making; appropriate use of…
The Relationship between Emotional Maturity, Intelligence and Creativity in Gifted Children.
ERIC Educational Resources Information Center
Landau, Erika; Weissler, Kineret
1998-01-01
This study examined the relationships among emotional maturity, intelligence, and creativity in 221 gifted children at a special school in Israel. Emotional maturity was defined as the strength and courage to actualize individual abilities within the frame of social demands. Highly intelligent and emotionally mature children were more creative…
Race, Intelligence and Political Efficacy Among School Children.
ERIC Educational Resources Information Center
Carmines, Edward G.; Baxter, Donald J.
1986-01-01
Focuses on the difference in political efficacy found between black and white pre-adults. Suggests that the racial difference in feelings of political effectiveness is due to intelligence which, in turn, is basically a function of the social and economic environment. Suggests that intelligence may play a significant role in the political…
ERIC Educational Resources Information Center
Cheng, Zi-Juan; Hau, Kit-Tai; Wen, Jian-Bing; Kong, Chit-Kwong
Using structural equation modeling (SEM), researchers examined whether there was a general dominating factor that governed students' implicit theories of intelligence, morality, personality, creativity, and social intelligence. The possible age-related changes of students' implicit theories were also studied. In all, 1,650 elementary and junior…
The highly intelligent virtual agents for modeling financial markets
NASA Astrophysics Data System (ADS)
Yang, G.; Chen, Y.; Huang, J. P.
2016-02-01
Researchers have borrowed many theories from statistical physics, like ensemble, Ising model, etc., to study complex adaptive systems through agent-based modeling. However, one fundamental difference between entities (such as spins) in physics and micro-units in complex adaptive systems is that the latter are usually with high intelligence, such as investors in financial markets. Although highly intelligent virtual agents are essential for agent-based modeling to play a full role in the study of complex adaptive systems, how to create such agents is still an open question. Hence, we propose three principles for designing high artificial intelligence in financial markets and then build a specific class of agents called iAgents based on these three principles. Finally, we evaluate the intelligence of iAgents through virtual index trading in two different stock markets. For comparison, we also include three other types of agents in this contest, namely, random traders, agents from the wealth game (modified on the famous minority game), and agents from an upgraded wealth game. As a result, iAgents perform the best, which gives a well support for the three principles. This work offers a general framework for the further development of agent-based modeling for various kinds of complex adaptive systems.
Stenhouse, Rosie; Snowden, Austyn; Young, Jenny; Carver, Fiona; Carver, Hannah; Brown, Norrie
2016-08-01
Reports of poor nursing care have focused attention on values based selection of candidates onto nursing programmes. Values based selection lacks clarity and valid measures. Previous caring experience might lead to better care. Emotional intelligence (EI) might be associated with performance, is conceptualised and measurable. To examine the impact of 1) previous caring experience, 2) emotional intelligence 3) social connection scores on performance and retention in a cohort of first year nursing and midwifery students in Scotland. A longitudinal, quasi experimental design. Adult and mental health nursing, and midwifery programmes in a Scottish University. Adult, mental health and midwifery students (n=598) completed the Trait Emotional Intelligence Questionnaire-short form and Schutte's Emotional Intelligence Scale on entry to their programmes at a Scottish University, alongside demographic and previous caring experience data. Social connection was calculated from a subset of questions identified within the TEIQue-SF in a prior factor and Rasch analysis. Student performance was calculated as the mean mark across the year. Withdrawal data were gathered. 598 students completed baseline measures. 315 students declared previous caring experience, 277 not. An independent-samples t-test identified that those without previous caring experience scored higher on performance (57.33±11.38) than those with previous caring experience (54.87±11.19), a statistically significant difference of 2.47 (95% CI, 0.54 to 4.38), t(533)=2.52, p=.012. Emotional intelligence scores were not associated with performance. Social connection scores for those withdrawing (mean rank=249) and those remaining (mean rank=304.75) were statistically significantly different, U=15,300, z=-2.61, p$_amp_$lt;0.009. Previous caring experience led to worse performance in this cohort. Emotional intelligence was not a useful indicator of performance. Lower scores on the social connection factor were associated with withdrawal from the course. Copyright © 2016 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Nazarpoori, Amirhooshang
2017-01-01
The purpose of this study was to investigate the effect of a leader's social intelligence (SI) on an employee's perception of interpersonal justice by considering the mediating role of shared leadership. Conceptual model and research hypotheses have been developed by the Marlowe's SI model (1986), and the theory of shared leadership and…
ERIC Educational Resources Information Center
Sanchez-Nunez, M. Trinidad; Fernandez-Berrocal, Pablo; Montanes, Juan; Latorre, Jose Miguel
2008-01-01
This article attempts to justify gender differences found for the main factors that comprise emotional intelligence from the standpoint of the Mayer and Salovey Skill Model (1997). In order to do so, we carry out a review of the different emotional socialization patterns used by parents on the basis of their children's gender and look into their…
ERIC Educational Resources Information Center
Kong, Eric; Chadee, Doren; Raman, Revti
2012-01-01
This paper focuses on the processes by which firms, particularly knowledge intensive firms, can augment their overall knowledge stock by tapping into external sources of knowledge. It is argued that Top Management Teams' (TMTs') social intelligence is a critical learning capability in acquiring external knowledge that leads to strategic change.…
ERIC Educational Resources Information Center
Babalis, Thomas; Tsoli, Konstantina; Artikis, Constantinos T.; Mylonakou-Keke, Iro; Xanthakou, Yota
2013-01-01
The present study examined the relationship between emotional intelligence, academic achievement and school climate among primary school students. The purpose of the study was to investigate the impact of social and emotional learning programs on the emotional intelligence and the academic achievement of 143 students in the 5th and 6th grade of…
ERIC Educational Resources Information Center
Wallenius, Marjut; Punamaki, Raija-Leena; Rimpela, Arja
2007-01-01
The roles of age, social intelligence and parent-child communication in moderating the association between digital game playing and direct and indirect aggression were examined in 478 Finnish 10- and 13-year-old schoolchildren based on self-reports. The results confirmed that digital game violence was directly associated with direct aggression,…
Improved Intelligence Warning in an Age of Complexity
2015-05-21
at, and applying complexity science to this problem, which is represented by a multidiscipline study of large networks comprised of interdependent...For analysts and policy makers, complexity science offers methods to improve this understanding. As said by Ms. Irene Sanders, director of the... science to improve intelligence warning. The initial section describes how policy makers and national security leaders understand the current
Bechtoldt, Myriam N; Schneider, Vanessa K
2016-09-01
While emotional intelligence (EI) is recognized as a resource in social interactions, we hypothesized a positive association with stress in socially evaluative contexts. In particular, we expected emotion recognition, the core component of EI, to inflict stress on individuals in negatively valenced interactions. We expected this association to be stronger for status-driven individuals, that is, for individuals scoring high on basal testosterone. In a laboratory experiment, N = 166 male participants underwent the Trier Social Stress Test (Kirschbaum, Pirke, & Hellhammer, 1993). As expected, EI measured by the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT V2.0; Mayer et al., 2003) predicted higher cortisol reactivity, including slower recovery from stress. The effect was moderated by basal testosterone, such that the association was positive when basal testosterone was high but not when it was low. On the component level of EI, the interaction was replicated for negative emotion recognition. These findings lend support to the hypothesis that EI is associated with higher activity of the hypothalamic-pituitary-adrenal axis in contexts where social status is at stake, particularly for those individuals who are more status-driven. Thus, the effects of EI are not unequivocally positive: While EI may positively affect the course of social interactions, it also inflicts stress on the emotionally intelligent individuals themselves. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Devaine, Marie; San-Galli, Aurore; Trapanese, Cinzia; Bardino, Giulia; Hano, Christelle; Saint Jalme, Michel; Bouret, Sebastien
2017-01-01
Theory of Mind (ToM), i.e. the ability to understand others' mental states, endows humans with highly adaptive social skills such as teaching or deceiving. Candidate evolutionary explanations have been proposed for the unique sophistication of human ToM among primates. For example, the Machiavellian intelligence hypothesis states that the increasing complexity of social networks may have induced a demand for sophisticated ToM. This type of scenario ignores neurocognitive constraints that may eventually be crucial limiting factors for ToM evolution. In contradistinction, the cognitive scaffolding hypothesis asserts that a species' opportunity to develop sophisticated ToM is mostly determined by its general cognitive capacity (on which ToM is scaffolded). However, the actual relationships between ToM sophistication and either brain volume (a proxy for general cognitive capacity) or social group size (a proxy for social network complexity) are unclear. Here, we let 39 individuals sampled from seven non-human primate species (lemurs, macaques, mangabeys, orangutans, gorillas and chimpanzees) engage in simple dyadic games against artificial ToM players (via a familiar human caregiver). Using computational analyses of primates' choice sequences, we found that the probability of exhibiting a ToM-compatible learning style is mainly driven by species' brain volume (rather than by social group size). Moreover, primates' social cognitive sophistication culminates in a precursor form of ToM, which still falls short of human fully-developed ToM abilities. PMID:29112973
Devaine, Marie; San-Galli, Aurore; Trapanese, Cinzia; Bardino, Giulia; Hano, Christelle; Saint Jalme, Michel; Bouret, Sebastien; Masi, Shelly; Daunizeau, Jean
2017-11-01
Theory of Mind (ToM), i.e. the ability to understand others' mental states, endows humans with highly adaptive social skills such as teaching or deceiving. Candidate evolutionary explanations have been proposed for the unique sophistication of human ToM among primates. For example, the Machiavellian intelligence hypothesis states that the increasing complexity of social networks may have induced a demand for sophisticated ToM. This type of scenario ignores neurocognitive constraints that may eventually be crucial limiting factors for ToM evolution. In contradistinction, the cognitive scaffolding hypothesis asserts that a species' opportunity to develop sophisticated ToM is mostly determined by its general cognitive capacity (on which ToM is scaffolded). However, the actual relationships between ToM sophistication and either brain volume (a proxy for general cognitive capacity) or social group size (a proxy for social network complexity) are unclear. Here, we let 39 individuals sampled from seven non-human primate species (lemurs, macaques, mangabeys, orangutans, gorillas and chimpanzees) engage in simple dyadic games against artificial ToM players (via a familiar human caregiver). Using computational analyses of primates' choice sequences, we found that the probability of exhibiting a ToM-compatible learning style is mainly driven by species' brain volume (rather than by social group size). Moreover, primates' social cognitive sophistication culminates in a precursor form of ToM, which still falls short of human fully-developed ToM abilities.
OFMTutor: An operator function model intelligent tutoring system
NASA Technical Reports Server (NTRS)
Jones, Patricia M.
1989-01-01
The design, implementation, and evaluation of an Operator Function Model intelligent tutoring system (OFMTutor) is presented. OFMTutor is intended to provide intelligent tutoring in the context of complex dynamic systems for which an operator function model (OFM) can be constructed. The human operator's role in such complex, dynamic, and highly automated systems is that of a supervisory controller whose primary responsibilities are routine monitoring and fine-tuning of system parameters and occasional compensation for system abnormalities. The automated systems must support the human operator. One potentially useful form of support is the use of intelligent tutoring systems to teach the operator about the system and how to function within that system. Previous research on intelligent tutoring systems (ITS) is considered. The proposed design for OFMTutor is presented, and an experimental evaluation is described.
Trends in Social Science: The Impact of Computational and Simulative Models
NASA Astrophysics Data System (ADS)
Conte, Rosaria; Paolucci, Mario; Cecconi, Federico
This paper discusses current progress in the computational social sciences. Specifically, it examines the following questions: Are the computational social sciences exhibiting positive or negative developments? What are the roles of agent-based models and simulation (ABM), network analysis, and other "computational" methods within this dynamic? (Conte, The necessity of intelligent agents in social simulation, Advances in Complex Systems, 3(01n04), 19-38, 2000; Conte 2010; Macy, Annual Review of Sociology, 143-166, 2002). Are there objective indicators of scientific growth that can be applied to different scientific areas, allowing for comparison among them? In this paper, some answers to these questions are presented and discussed. In particular, comparisons among different disciplines in the social and computational sciences are shown, taking into account their respective growth trends in the number of publication citations over the last few decades (culled from Google Scholar). After a short discussion of the methodology adopted, results of keyword-based queries are presented, unveiling some unexpected local impacts of simulation on the takeoff of traditionally poorly productive disciplines.
Manifestations of Indirect Self-Destructiveness and Dimensions of Emotional Intelligence.
Tsirigotis, Konstantinos; Łuczak, Joanna
2016-09-01
While indirect self-destructiveness exerts a rather negative influence on the life and psychological and social functioning of the individual, emotional intelligence may have a favourable effect. The aim of this study has been to explore possible relationships between manifestations of indirect self-destructiveness and dimensions of emotional intelligence. A population of 260 individuals (130 females and 130 males) aged 20-30 (mean age of 24.5) was studied by using the Polish version of the Chronic Self-Destructiveness Scale and INTE, i.e., the Polish version of the Assessing Emotions Scale. Manifestations of indirect self-destructiveness show many significant correlations with variables of the INTE, and those correlations are negative. Generally, it can be said that low emotional intelligence is associated with poor psychosocial and social functioning, which, in turn, is associated with indirect self-destructiveness and its manifestations. It seems advisable to use emotional intelligence in the prophylactic and therapeutic work with individuals suffering from various types of disorders, especially the syndrome of indirect self-destructiveness.
ERIC Educational Resources Information Center
Georgia Univ., Athens. Div. for Exceptional Children.
Reported are the proceedings and recommendations of a research conference to improve the development and utilization of intelligence tests for use with blind adults in social and vocational rehabilitation. The following tests are considered: A Haptic Intelligence Scale for the Adult Blind, the Raven Progressive Matrices for Presentation to the…
Mimicking and anticipating others' actions is linked to Social Information Processing.
Genschow, Oliver; Klomfar, Sophie; d'Haene, Ine; Brass, Marcel
2018-01-01
It is widely known that individuals frequently imitate each other in social situations and that such mimicry fulfills an important social role in the sense that it functions as a social glue. With reference to the anticipated action effect, it has recently been demonstrated that individuals do not only imitate others, but also engage in anticipated action before the observed person starts engaging in that action. Interestingly, both phenomena (i.e., mimicry and anticipated action) rely on tracking others' social behavior. Therefore, in the present research we investigated whether mimicry and anticipated action are related to social abilities as indicated by measures of social intelligence. The results demonstrate for the first time that mimicry as well as anticipated action is correlated with an important aspect of social intelligence-namely the ability to process social information. Theoretical implications and limitations are discussed.
ERIC Educational Resources Information Center
Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels
2013-01-01
Intelligent tutoring systems (ITS) support students in learning a complex problem-solving skill. One feature that makes an ITS architecturally complex, and hard to build, is support for strategy freedom, that is, the ability to let students pursue multiple solution strategies within a given problem. But does greater freedom mean that students…
Framework and Implications of Virtual Neurorobotics
Goodman, Philip H.; Zou, Quan; Dascalu, Sergiu-Mihai
2008-01-01
Despite decades of societal investment in artificial learning systems, truly “intelligent” systems have yet to be realized. These traditional models are based on input-output pattern optimization and/or cognitive production rule modeling. One response has been social robotics, using the interaction of human and robot to capture important cognitive dynamics such as cooperation and emotion; to date, these systems still incorporate traditional learning algorithms. More recently, investigators are focusing on the core assumptions of the brain “algorithm” itself—trying to replicate uniquely “neuromorphic” dynamics such as action potential spiking and synaptic learning. Only now are large-scale neuromorphic models becoming feasible, due to the availability of powerful supercomputers and an expanding supply of parameters derived from research into the brain's interdependent electrophysiological, metabolomic and genomic networks. Personal computer technology has also led to the acceptance of computer-generated humanoid images, or “avatars”, to represent intelligent actors in virtual realities. In a recent paper, we proposed a method of virtual neurorobotics (VNR) in which the approaches above (social-emotional robotics, neuromorphic brain architectures, and virtual reality projection) are hybridized to rapidly forward-engineer and develop increasingly complex, intrinsically intelligent systems. In this paper, we synthesize our research and related work in the field and provide a framework for VNR, with wider implications for research and practical applications. PMID:18982115
Social Perception in Learning Disabled Adolescents.
ERIC Educational Resources Information Center
Axelrod, Lee
1982-01-01
Nonverbal social perception in 54 learning disabled adolescents was investigated using standardized tests of social intelligence and nonverbal communication. LD adolescents (grades 8 and 9) were significantly lower in nonverbal social perception skill than controls. (Author/CL)
Modeling of contact tracing in social networks
NASA Astrophysics Data System (ADS)
Tsimring, Lev S.; Huerta, Ramón
2003-07-01
Spreading of certain infections in complex networks is effectively suppressed by using intelligent strategies for epidemic control. One such standard epidemiological strategy consists in tracing contacts of infected individuals. In this paper, we use a recently introduced generalization of the standard susceptible-infectious-removed stochastic model for epidemics in sparse random networks which incorporates an additional (traced) state. We describe a deterministic mean-field description which yields quantitative agreement with stochastic simulations on random graphs. We also discuss the role of contact tracing in epidemics control in small-world and scale-free networks. Effectiveness of contact tracing grows as the rewiring probability is reduced.
Goal neglect and knowledge chunking in the construction of novel behaviour☆
Bhandari, Apoorva; Duncan, John
2014-01-01
Task complexity is critical in cognitive efficiency and fluid intelligence. To examine functional limits in task complexity, we examine the phenomenon of goal neglect, where participants with low fluid intelligence fail to follow task rules that they otherwise understand. Though neglect is known to increase with task complexity, here we show that – in contrast to previous accounts – the critical factor is not the total complexity of all task rules. Instead, when the space of task requirements can be divided into separate sub-parts, neglect is controlled by the complexity of each component part. The data also show that neglect develops and stabilizes over the first few performance trials, i.e. as instructions are first used to generate behaviour. In all complex behaviour, a critical process is combination of task events with retrieved task requirements to create focused attentional episodes dealing with each decision in turn. In large part, we suggest, fluid intelligence may reflect this process of converting complex requirements into effective attentional episodes. PMID:24141034
Clever sillies: why high IQ people tend to be deficient in common sense.
Charlton, Bruce G
2009-12-01
In previous editorials I have written about the absent-minded and socially-inept 'nutty professor' stereotype in science, and the phenomenon of 'psychological neoteny' whereby intelligent modern people (including scientists) decline to grow-up and instead remain in a state of perpetual novelty-seeking adolescence. These can be seen as specific examples of the general phenomenon of 'clever sillies' whereby intelligent people with high levels of technical ability are seen (by the majority of the rest of the population) as having foolish ideas and behaviours outside the realm of their professional expertise. In short, it has often been observed that high IQ types are lacking in 'common sense'--and especially when it comes to dealing with other human beings. General intelligence is not just a cognitive ability; it is also a cognitive disposition. So, the greater cognitive abilities of higher IQ tend also to be accompanied by a distinctive high IQ personality type including the trait of 'Openness to experience', 'enlightened' or progressive left-wing political values, and atheism. Drawing on the ideas of Kanazawa, my suggested explanation for this association between intelligence and personality is that an increasing relative level of IQ brings with it a tendency differentially to over-use general intelligence in problem-solving, and to over-ride those instinctive and spontaneous forms of evolved behaviour which could be termed common sense. Preferential use of abstract analysis is often useful when dealing with the many evolutionary novelties to be found in modernizing societies; but is not usually useful for dealing with social and psychological problems for which humans have evolved 'domain-specific' adaptive behaviours. And since evolved common sense usually produces the right answers in the social domain; this implies that, when it comes to solving social problems, the most intelligent people are more likely than those of average intelligence to have novel but silly ideas, and therefore to believe and behave maladaptively. I further suggest that this random silliness of the most intelligent people may be amplified to generate systematic wrongness when intellectuals are in addition 'advertising' their own high intelligence in the evolutionarily novel context of a modern IQ meritocracy. The cognitively-stratified context of communicating almost-exclusively with others of similar intelligence, generates opinions and behaviours among the highest IQ people which are not just lacking in common sense but perversely wrong. Hence the phenomenon of 'political correctness' (PC); whereby false and foolish ideas have come to dominate, and moralistically be enforced upon, the ruling elites of whole nations.
Furnham, Adrian; Arteche, Adriane; Chamorro-Premuzic, Tomas; Keser, Askin; Swami, Viren
2009-12-01
This study is part of a programmatic research effort into the determinants of self-assessed abilities. It examined cross-cultural differences in beliefs about intelligence and self- and other-estimated intelligence in two countries at extreme ends of the European continent. In all, 172 British and 272 Turkish students completed a three-part questionnaire where they estimated their parents', partners' and own multiple intelligences (Gardner (10) and Sternberg (3)). They also completed a measure of the 'big five' personality scales and rated six questions about intelligence. The British sample had more experience with IQ tests than the Turks. The majority of participants in both groups did not believe in sex differences in intelligence but did think there were race differences. They also believed that intelligence was primarily inherited. Participants rated their social and emotional intelligence highly (around one standard deviation above the norm). Results suggested that there were more cultural than sex differences in all the ratings, with various interactions mainly due to the British sample differentiating more between the sexes than the Turks. Males rated their overall, verbal, logical, spatial, creative and practical intelligence higher than females. Turks rated their musical, body-kinesthetic, interpersonal and intrapersonal intelligence as well as existential, naturalistic, emotional, creative, and practical intelligence higher than the British. There was evidence of participants rating their fathers' intelligence on most factors higher than their mothers'. Factor analysis of the ten Gardner intelligences yield two clear factors: cognitive and social intelligence. The first factor was impacted by sex but not culture; it was the other way round for the second factor. Regressions showed that five factors predicted overall estimates: sex (male), age (older), test experience (has done tests), extraversion (strong) and openness (strong). Results are discussed in terms of the growing literature in the field.
Intelligent Home Control System Based on ARM10
NASA Astrophysics Data System (ADS)
Chen, G. X.; Jiang, J.; Zhong, L. H.
2017-10-01
Intelligent home is becoming the hot spot of social attention in the 21st century. When it is in China, it is a really new industry. However, there is no doubt that Intelligent home will become a new economic growth point of social development; it will change the life-style of human being. To develop the intelligent home, we should keep up with the development trend of technology. This is the reason why I talk about the intelligent home control system here. In this paper, intelligent home control system is designed for alarm and remote control on gas- leaking, fire disaster, earthquake prediction, etc., by examining environmental changes around house. When the Intelligent home control system has detected an accident occurs, the processor will communicate with the GSM module, informing the house keeper the occurrence of accident. User can receive and send the message to the system to cut the power by mobile phone. The system can get access to DCCthrough ARM10 JTAG interface, using DCC to send and receive messages. At the same time, the debugger on the host is mainly used to receive the user’s command and send it to the debug component in the target system. The data that returned from the target system is received and displayed to the user in a certain format.
Link, Bruce G; Phelan, Jo C; Miech, Richard; Westin, Emily Leckman
2008-03-01
A robust and very persistent association between indicators of socioeconomic status (SES) and the onset of life-threatening disease is a prominent concern of medical sociology. The persistence of the association over time and its generality across very different places suggests that no fixed set of intervening risk and protective factors can account for the connection. Instead, fundamental-cause theory views SES-related resources of knowledge, money, power prestige, and beneficial social connections as flexible resources that allow people to avoid risks and adopt protective strategies no matter what the risk and protective factors are in a given place or time. Recently, however, intelligence has been proposed as an alternative flexible resource that could fully account for the association between SES and health and thereby find its place as the epidemiologists' "elusive fundamental cause" (Gottfredson 2004). We examine the direct effects of intelligence test scores and adult SES in two data sets containing measures of intelligence, SES, and health. In analyses of prospective data from both the Wisconsin Longitudinal Study and the Health and Retirement Survey, we find little evidence of a direct effect of intelligence on health once adult education and income are held constant. In contrast, the significant effects of education and income on health change very little when intelligence is controlled. Although data limitations do not allow a definitive resolution of the issue, this evidence is inconsistent with the claim that intelligence is the elusive fundamental cause of health disparities, and instead supports the idea that the flexible resources people actively use to gain a health advantage are the SES-related resources of knowledge, money, power, prestige, and beneficial social connections.
Spiritual intelligence of nurses in two Chinese social systems: a cross-sectional comparison study.
Yang, Ke-Ping; Wu, Xin-Juan
2009-09-01
The spirituality of healthcare providers and their clients is becoming a crucial issue in a world increasingly preoccupied with material issues. In light of such, how do nurses enhance their spiritual intelligence against such materialist pressures? After a 60-year separation of Chinese on both sides of the Taiwan Strait and the rancor between their two governments, what are the similarities and the differences in nurse spirituality profiles between these two different societies? With increasing contact between the two, this issue should be examined and explored, as it has the potential to become an essential unspoken element underpinning holistic care quality. The purpose of this study was to compare spiritual intelligence between nurses in two different Chinese societies. A cross-sectional descriptive and inferential study was conducted at five medical centers in China and Taiwan. A total of 524 registered hospital nurses were recruited as participants. We used R. N. Wolman's (2001) self-reported PsychoMatrix Spirituality Inventory to measure participant levels of spiritual intelligence. The PsychoMatrix Spirituality Inventory incorporated seven factors, including divinity, mindfulness, extrasensory perception, community, intellectuality, trauma, and childhood spirituality. Results showed that social systems did have an impact on nurses' spiritual intelligence. Childhood spirituality and religious beliefs and activities greatly affected and effectively predicted nurses' spiritual intelligence. Nurses on either side of the Taiwan Strait all reported a need to deal with their daily lives pragmatically, objectively, and rationally and relied on empirical evidence in work settings. As social and economic contacts increase across the Taiwan Strait, it is imperative that nurses adopt cultural awareness and sensitivity as they provide holistic care to clients. This study opens doors to dialogue about and a better understanding of nurses' spiritual intelligence in Taiwan and China.
Extraordinary intelligence and the care of infants
Piantadosi, Steven T.; Kidd, Celeste
2016-01-01
We present evidence that pressures for early childcare may have been one of the driving factors of human evolution. We show through an evolutionary model that runaway selection for high intelligence may occur when (i) altricial neonates require intelligent parents, (ii) intelligent parents must have large brains, and (iii) large brains necessitate having even more altricial offspring. We test a prediction of this account by showing across primate genera that the helplessness of infants is a particularly strong predictor of the adults’ intelligence. We discuss related implications, including this account’s ability to explain why human-level intelligence evolved specifically in mammals. This theory complements prior hypotheses that link human intelligence to social reasoning and reproductive pressures and explains how human intelligence may have become so distinctive compared with our closest evolutionary relatives. PMID:27217560
Intelligence and cortical thickness in children with complex partial seizures.
Tosun, Duygu; Caplan, Rochelle; Siddarth, Prabha; Seidenberg, Michael; Gurbani, Suresh; Toga, Arthur W; Hermann, Bruce
2011-07-15
Prior studies on healthy children have demonstrated regional variations and a complex and dynamic relationship between intelligence and cerebral tissue. Yet, there is little information regarding the neuroanatomical correlates of general intelligence in children with epilepsy compared to healthy controls. In vivo imaging techniques, combined with methods for advanced image processing and analysis, offer the potential to examine quantitative mapping of brain development and its abnormalities in childhood epilepsy. A surface-based, computational high resolution 3-D magnetic resonance image analytic technique was used to compare the relationship of cortical thickness with age and intelligence quotient (IQ) in 65 children and adolescents with complex partial seizures (CPS) and 58 healthy controls, aged 6-18 years. Children were grouped according to health status (epilepsy; controls) and IQ level (average and above; below average) and compared on age-related patterns of cortical thickness. Our cross-sectional findings suggest that disruption in normal age-related cortical thickness expression is associated with intelligence in pediatric CPS patients both with average and below average IQ scores. Copyright © 2011 Elsevier Inc. All rights reserved.
A new bio-inspired optimisation algorithm: Bird Swarm Algorithm
NASA Astrophysics Data System (ADS)
Meng, Xian-Bing; Gao, X. Z.; Lu, Lihua; Liu, Yu; Zhang, Hengzhen
2016-07-01
A new bio-inspired algorithm, namely Bird Swarm Algorithm (BSA), is proposed for solving optimisation applications. BSA is based on the swarm intelligence extracted from the social behaviours and social interactions in bird swarms. Birds mainly have three kinds of behaviours: foraging behaviour, vigilance behaviour and flight behaviour. Birds may forage for food and escape from the predators by the social interactions to obtain a high chance of survival. By modelling these social behaviours, social interactions and the related swarm intelligence, four search strategies associated with five simplified rules are formulated in BSA. Simulations and comparisons based on eighteen benchmark problems demonstrate the effectiveness, superiority and stability of BSA. Some proposals for future research about BSA are also discussed.
Fostering Emotional Intelligence in Online Higher Education Courses
ERIC Educational Resources Information Center
Majeski, Robin A.; Stover, Merrily; Valais, Teresa; Ronch, Judah
2017-01-01
Given the complex challenges organizations face and the importance of emotional intelligence to effective leadership, management education has begun to help adult learners develop emotional intelligence competencies. These include emotional self-control, conflict management, teamwork, cultural awareness, and inspirational leadership, among other…
The Machine Intelligence Hex Project
ERIC Educational Resources Information Center
Chalup, Stephan K.; Mellor, Drew; Rosamond, Fran
2005-01-01
Hex is a challenging strategy board game for two players. To enhance students' progress in acquiring understanding and practical experience with complex machine intelligence and programming concepts we developed the Machine Intelligence Hex (MIHex) project. The associated undergraduate student assignment is about designing and implementing Hex…
Present situation and trend of precision guidance technology and its intelligence
NASA Astrophysics Data System (ADS)
Shang, Zhengguo; Liu, Tiandong
2017-11-01
This paper first introduces the basic concepts of precision guidance technology and artificial intelligence technology. Then gives a brief introduction of intelligent precision guidance technology, and with the help of development of intelligent weapon based on deep learning project in foreign: LRASM missile project, TRACE project, and BLADE project, this paper gives an overview of the current foreign precision guidance technology. Finally, the future development trend of intelligent precision guidance technology is summarized, mainly concentrated in the multi objectives, intelligent classification, weak target detection and recognition, intelligent between complex environment intelligent jamming and multi-source, multi missile cooperative fighting and other aspects.
HyperForest: A high performance multi-processor architecture for real-time intelligent systems
DOE Office of Scientific and Technical Information (OSTI.GOV)
Garcia, P. Jr.; Rebeil, J.P.; Pollard, H.
1997-04-01
Intelligent Systems are characterized by the intensive use of computer power. The computer revolution of the last few years is what has made possible the development of the first generation of Intelligent Systems. Software for second generation Intelligent Systems will be more complex and will require more powerful computing engines in order to meet real-time constraints imposed by new robots, sensors, and applications. A multiprocessor architecture was developed that merges the advantages of message-passing and shared-memory structures: expendability and real-time compliance. The HyperForest architecture will provide an expandable real-time computing platform for computationally intensive Intelligent Systems and open the doorsmore » for the application of these systems to more complex tasks in environmental restoration and cleanup projects, flexible manufacturing systems, and DOE`s own production and disassembly activities.« less
The BioIntelligence Framework: a new computational platform for biomedical knowledge computing.
Farley, Toni; Kiefer, Jeff; Lee, Preston; Von Hoff, Daniel; Trent, Jeffrey M; Colbourn, Charles; Mousses, Spyro
2013-01-01
Breakthroughs in molecular profiling technologies are enabling a new data-intensive approach to biomedical research, with the potential to revolutionize how we study, manage, and treat complex diseases. The next great challenge for clinical applications of these innovations will be to create scalable computational solutions for intelligently linking complex biomedical patient data to clinically actionable knowledge. Traditional database management systems (DBMS) are not well suited to representing complex syntactic and semantic relationships in unstructured biomedical information, introducing barriers to realizing such solutions. We propose a scalable computational framework for addressing this need, which leverages a hypergraph-based data model and query language that may be better suited for representing complex multi-lateral, multi-scalar, and multi-dimensional relationships. We also discuss how this framework can be used to create rapid learning knowledge base systems to intelligently capture and relate complex patient data to biomedical knowledge in order to automate the recovery of clinically actionable information.
Cameron, Delroy; Sheth, Amit P; Jaykumar, Nishita; Thirunarayan, Krishnaprasad; Anand, Gaurish; Smith, Gary A
2014-12-01
While contemporary semantic search systems offer to improve classical keyword-based search, they are not always adequate for complex domain specific information needs. The domain of prescription drug abuse, for example, requires knowledge of both ontological concepts and "intelligible constructs" not typically modeled in ontologies. These intelligible constructs convey essential information that include notions of intensity, frequency, interval, dosage and sentiments, which could be important to the holistic needs of the information seeker. In this paper, we present a hybrid approach to domain specific information retrieval that integrates ontology-driven query interpretation with synonym-based query expansion and domain specific rules, to facilitate search in social media on prescription drug abuse. Our framework is based on a context-free grammar (CFG) that defines the query language of constructs interpretable by the search system. The grammar provides two levels of semantic interpretation: 1) a top-level CFG that facilitates retrieval of diverse textual patterns, which belong to broad templates and 2) a low-level CFG that enables interpretation of specific expressions belonging to such textual patterns. These low-level expressions occur as concepts from four different categories of data: 1) ontological concepts, 2) concepts in lexicons (such as emotions and sentiments), 3) concepts in lexicons with only partial ontology representation, called lexico-ontology concepts (such as side effects and routes of administration (ROA)), and 4) domain specific expressions (such as date, time, interval, frequency and dosage) derived solely through rules. Our approach is embodied in a novel Semantic Web platform called PREDOSE, which provides search support for complex domain specific information needs in prescription drug abuse epidemiology. When applied to a corpus of over 1 million drug abuse-related web forum posts, our search framework proved effective in retrieving relevant documents when compared with three existing search systems.
Cameron, Delroy; Sheth, Amit P.; Jaykumar, Nishita; Thirunarayan, Krishnaprasad; Anand, Gaurish; Smith, Gary A.
2015-01-01
While contemporary semantic search systems offer to improve classical keyword-based search, they are not always adequate for complex domain specific information needs. The domain of prescription drug abuse, for example, requires knowledge of both ontological concepts and “intelligible constructs” not typically modeled in ontologies. These intelligible constructs convey essential information that include notions of intensity, frequency, interval, dosage and sentiments, which could be important to the holistic needs of the information seeker. In this paper, we present a hybrid approach to domain specific information retrieval that integrates ontology-driven query interpretation with synonym-based query expansion and domain specific rules, to facilitate search in social media on prescription drug abuse. Our framework is based on a context-free grammar (CFG) that defines the query language of constructs interpretable by the search system. The grammar provides two levels of semantic interpretation: 1) a top-level CFG that facilitates retrieval of diverse textual patterns, which belong to broad templates and 2) a low-level CFG that enables interpretation of specific expressions belonging to such textual patterns. These low-level expressions occur as concepts from four different categories of data: 1) ontological concepts, 2) concepts in lexicons (such as emotions and sentiments), 3) concepts in lexicons with only partial ontology representation, called lexico-ontology concepts (such as side effects and routes of administration (ROA)), and 4) domain specific expressions (such as date, time, interval, frequency and dosage) derived solely through rules. Our approach is embodied in a novel Semantic Web platform called PREDOSE, which provides search support for complex domain specific information needs in prescription drug abuse epidemiology. When applied to a corpus of over 1 million drug abuse-related web forum posts, our search framework proved effective in retrieving relevant documents when compared with three existing search systems. PMID:25814917
Lee, Alice; Gibbon, Fiona E; Spivey, Kimberley
2017-05-01
The objective of this study was to investigate whether reduced speech intelligibility in children with cleft palate affects social and personal attribute judgments made by typically developing children of different ages. The study (1) measured the correlation between intelligibility scores of speech samples from children with cleft palate and social and personal attribute judgments made by typically developing children based on these samples and (2) compared the attitude judgments made by children of different ages. Participants A total of 90 typically developing children, 30 in each of three age groups (7 to 8 years, 9 to 10 years, and 11 to 12 years). Speech intelligibility scores and typically developing children's attitudes were measured using eight social and personal attributes on a three-point rating scale. There was a significant correlation between the speech intelligibility scores and attitude judgments for a number of traits: "sick-healthy" as rated by the children aged 7 to 8 years, "no friends-friends" by the children aged 9 to 10 years, and "ugly-good looking" and "no friends-friends" by the children aged 11 to 12 years. Children aged 7 to 8 years gave significantly lower ratings for "mean-kind" but higher ratings for "shy-outgoing" when compared with the other two groups. Typically developing children tended to make negative social and personal attribute judgments about children with cleft palate based solely on the intelligibility of their speech. Society, educators, and health professionals should work together to ensure that children with cleft palate are not stigmatized by their peers.
KANTS: a stigmergic ant algorithm for cluster analysis and swarm art.
Fernandes, Carlos M; Mora, Antonio M; Merelo, Juan J; Rosa, Agostinho C
2014-06-01
KANTS is a swarm intelligence clustering algorithm inspired by the behavior of social insects. It uses stigmergy as a strategy for clustering large datasets and, as a result, displays a typical behavior of complex systems: self-organization and global patterns emerging from the local interaction of simple units. This paper introduces a simplified version of KANTS and describes recent experiments with the algorithm in the context of a contemporary artistic and scientific trend called swarm art, a type of generative art in which swarm intelligence systems are used to create artwork or ornamental objects. KANTS is used here for generating color drawings from the input data that represent real-world phenomena, such as electroencephalogram sleep data. However, the main proposal of this paper is an art project based on well-known abstract paintings, from which the chromatic values are extracted and used as input. Colors and shapes are therefore reorganized by KANTS, which generates its own interpretation of the original artworks. The project won the 2012 Evolutionary Art, Design, and Creativity Competition.
The foundations of plant intelligence.
Trewavas, Anthony
2017-06-06
Intelligence is defined for wild plants and its role in fitness identified. Intelligent behaviour exhibited by single cells and systems similarity between the interactome and connectome indicates neural systems are not necessary for intelligent capabilities. Plants sense and respond to many environmental signals that are assessed to competitively optimize acquisition of patchily distributed resources. Situations of choice engender motivational states in goal-directed plant behaviour; consequent intelligent decisions enable efficient gain of energy over expenditure. Comparison of swarm intelligence and plant behaviour indicates the origins of plant intelligence lie in complex communication and is exemplified by cambial control of branch function. Error correction in behaviours indicates both awareness and intention as does the ability to count to five. Volatile organic compounds are used as signals in numerous plant interactions. Being complex in composition and often species and individual specific, they may represent the plant language and account for self and alien recognition between individual plants. Game theory has been used to understand competitive and cooperative interactions between plants and microbes. Some unexpected cooperative behaviour between individuals and potential aliens has emerged. Behaviour profiting from experience, another simple definition of intelligence, requires both learning and memory and is indicated in the priming of herbivory, disease and abiotic stresses.
The foundations of plant intelligence
2017-01-01
Intelligence is defined for wild plants and its role in fitness identified. Intelligent behaviour exhibited by single cells and systems similarity between the interactome and connectome indicates neural systems are not necessary for intelligent capabilities. Plants sense and respond to many environmental signals that are assessed to competitively optimize acquisition of patchily distributed resources. Situations of choice engender motivational states in goal-directed plant behaviour; consequent intelligent decisions enable efficient gain of energy over expenditure. Comparison of swarm intelligence and plant behaviour indicates the origins of plant intelligence lie in complex communication and is exemplified by cambial control of branch function. Error correction in behaviours indicates both awareness and intention as does the ability to count to five. Volatile organic compounds are used as signals in numerous plant interactions. Being complex in composition and often species and individual specific, they may represent the plant language and account for self and alien recognition between individual plants. Game theory has been used to understand competitive and cooperative interactions between plants and microbes. Some unexpected cooperative behaviour between individuals and potential aliens has emerged. Behaviour profiting from experience, another simple definition of intelligence, requires both learning and memory and is indicated in the priming of herbivory, disease and abiotic stresses. PMID:28479977
Meta-Analysis of Armed service Vocational Aptitude Battery Subtest Validity Data
1988-12-01
underprivelaged groups ( Gottfredson , 1986). Revisionist beliefs are similar, yet are more extreme. They contend that intelligence and educational...correlation with intelligence measures (.6) 18 ( Gottfredson , 1986). Attempts at social revisions with the dual goals of increasing both equality and... intelligence measures. The ASVAB will then be described in terms of its history, content, reliability, and validity. Lastly, validity generalization and
ERIC Educational Resources Information Center
Zappardino, Pamela
Stephen Jay Gould points out in "The Mismeasure of Man" (1981), "Science, since people must do it, is a socially embedded activity. It progresses by hunch, vision, and intuition." The legacy of the traditional construct of intelligence and its measurement through intelligence quotient (IQ) tests has not been educational improvement. Its legacy in…
ERIC Educational Resources Information Center
Franklin, V. P.
2007-01-01
Since its founding in April 1932, "The Journal of Negro Education" has published articles, reports, and reviews examining the results of intelligence and other mental tests given to African Americans. In these studies, historically social scientists contributing to the "JNE" sought to clarify what these intelligence tests were…
ERIC Educational Resources Information Center
Humphreys, Lloyd G.
1981-01-01
This document is a book review of "Bias in Mental Testing" by Arthur R. Jensen. Jensen discusses intelligence as a phenotypic construct. The problem of ethnic differences in phenotypic intelligence is emotionally charged, which makes rational consideration of the issues difficult. The reviewer disagrees with the author's predisposition…
ERIC Educational Resources Information Center
Al-Khateeb, Omar; Alrub, Mohammad Abo
2015-01-01
This study aimed to find out how the effectiveness of the curriculum biography of the Prophet in the development of social intelligence skills of Al-Hussein Bin Talal University students and the study sample consisted of 365 students from Al-Hussein Bin Talal University for the first semester 2014-2015 students were selected in accessible manner.…
Distributive justice and cognitive enhancement in lower, normal intelligence.
Dunlop, Mikael; Savulescu, Julian
2014-01-01
There exists a significant disparity within society between individuals in terms of intelligence. While intelligence varies naturally throughout society, the extent to which this impacts on the life opportunities it affords to each individual is greatly undervalued. Intelligence appears to have a prominent effect over a broad range of social and economic life outcomes. Many key determinants of well-being correlate highly with the results of IQ tests, and other measures of intelligence, and an IQ of 75 is generally accepted as the most important threshold in modern life. The ability to enhance our cognitive capacities offers an exciting opportunity to correct disabling natural variation and inequality in intelligence. Pharmaceutical cognitive enhancers, such as modafinil and methylphenidate, have been shown to have the capacity to enhance cognition in normal, healthy individuals. Perhaps of most relevance is the presence of an 'inverted U effect' for most pharmaceutical cognitive enhancers, whereby the degree of enhancement increases as intelligence levels deviate further below the mean. Although enhancement, including cognitive enhancement, has been much debated recently, we argue that there are egalitarian reasons to enhance individuals with low but normal intelligence. Under egalitarianism, cognitive enhancement has the potential to reduce opportunity inequality and contribute to relative income and welfare equality in the lower, normal intelligence subgroup. Cognitive enhancement use is justifiable under prioritarianism through various means of distribution; selective access to the lower, normal intelligence subgroup, universal access, or paradoxically through access primarily to the average and above average intelligence subgroups. Similarly, an aggregate increase in social well-being is achieved through similar means of distribution under utilitarianism. In addition, the use of cognitive enhancement within the lower, normal intelligence subgroup negates, or at the very least minimises, several common objections to cognitive enhancement. Subsequently, this paper demonstrates that there is a compelling case for cognitive enhancement use in individuals with lower, normal intelligence.
Hellemann, G S; Green, M F; Kern, R S; Sitarenios, G; Nuechterlein, K H
2017-10-01
Measures of social cognition are increasingly being applied to psychopathology, including studies of schizophrenia and other psychotic disorders. Tests of social cognition present unique challenges for international adaptations. The Mayer-Salovey-Caruso Emotional Intelligence Test, Managing Emotions Branch (MSCEIT-ME) is a commonly-used social cognition test that involves the evaluation of social scenarios presented in vignettes. This paper presents evaluations of translations of this test in six different languages based on representative samples from the relevant countries. The goal was to identify items from the MSCEIT-ME that show different response patterns across countries using indices of discrepancy and content validity criteria. An international version of the MSCEIT-ME scoring was developed that excludes items that showed undesirable properties across countries. We then confirmed that this new version had better performance (i.e. less discrepancy across regions) in international samples than the version based on the original norms. Additionally, it provides scores that are comparable to ratings based on local norms. This paper shows that it is possible to adapt complex social cognitive tasks so they can provide valid data across different cultural contexts.
Classification of group behaviors in social media via social behavior grammars
NASA Astrophysics Data System (ADS)
Levchuk, Georgiy; Getoor, Lise; Smith, Marc
2014-06-01
The increasing use of online collaboration and information sharing in the last decade has resulted in explosion of criminal and anti-social activities in online communities. Detection of such behaviors are of interest to commercial enterprises who want to guard themselves from cyber criminals, and the military intelligence analysts who desire to detect and counteract cyberwars waged by adversarial states and organizations. The most challenging behaviors to detect are those involving multiple individuals who share actions and roles in the hostile activities and individually appear benign. To detect these behaviors, the theories of group behaviors and interactions must be developed. In this paper we describe our exploration of the data from collaborative social platform to categorize the behaviors of multiple individuals. We applied graph matching algorithms to explore consistent social interactions. Our research led us to a conclusion that complex collaborative behaviors can be modeled and detected using a concept of group behavior grammars, in a manner analogous to natural language processing. These grammars capture constraints on how people take on roles in virtual environments, form groups, and interact over time, providing the building blocks for scalable and accurate multi-entity interaction analysis and social behavior hypothesis testing.
Sci-Fin: Visual Mining Spatial and Temporal Behavior Features from Social Media
Pu, Jiansu; Teng, Zhiyao; Gong, Rui; Wen, Changjiang; Xu, Yang
2016-01-01
Check-in records are usually available in social services, which offer us the opportunity to capture and analyze users’ spatial and temporal behaviors. Mining such behavior features is essential to social analysis and business intelligence. However, the complexity and incompleteness of check-in records bring challenges to achieve such a task. Different from the previous work on social behavior analysis, in this paper, we present a visual analytics system, Social Check-in Fingerprinting (Sci-Fin), to facilitate the analysis and visualization of social check-in data. We focus on three major components of user check-in data: location, activity, and profile. Visual fingerprints for location, activity, and profile are designed to intuitively represent the high-dimensional attributes. To visually mine and demonstrate the behavior features, we integrate WorldMapper and Voronoi Treemap into our glyph-like designs. Such visual fingerprint designs offer us the opportunity to summarize the interesting features and patterns from different check-in locations, activities and users (groups). We demonstrate the effectiveness and usability of our system by conducting extensive case studies on real check-in data collected from a popular microblogging service. Interesting findings are reported and discussed at last. PMID:27999398
Sci-Fin: Visual Mining Spatial and Temporal Behavior Features from Social Media.
Pu, Jiansu; Teng, Zhiyao; Gong, Rui; Wen, Changjiang; Xu, Yang
2016-12-20
Check-in records are usually available in social services, which offer us the opportunity to capture and analyze users' spatial and temporal behaviors. Mining such behavior features is essential to social analysis and business intelligence. However, the complexity and incompleteness of check-in records bring challenges to achieve such a task. Different from the previous work on social behavior analysis, in this paper, we present a visual analytics system, Social Check-in Fingerprinting (Sci-Fin), to facilitate the analysis and visualization of social check-in data. We focus on three major components of user check-in data: location, activity, and profile. Visual fingerprints for location, activity, and profile are designed to intuitively represent the high-dimensional attributes. To visually mine and demonstrate the behavior features, we integrate WorldMapper and Voronoi Treemap into our glyph-like designs. Such visual fingerprint designs offer us the opportunity to summarize the interesting features and patterns from different check-in locations, activities and users (groups). We demonstrate the effectiveness and usability of our system by conducting extensive case studies on real check-in data collected from a popular microblogging service. Interesting findings are reported and discussed at last.
Gale, Catharine R; Booth, Tom; Starr, John M; Deary, Ian J
2016-06-01
Information on childhood determinants of frailty or allostatic load in later life is sparse. We investigated whether lower intelligence and greater socioeconomic disadvantage in childhood increased the risk of frailty and higher allostatic load, and explored the mediating roles of adult socioeconomic position, educational attainment and health behaviours. Participants were 876 members of the Lothian Birth Cohort 1936 whose intelligence was assessed at age 11. At age 70, frailty was assessed using the Fried criteria. Measurements were made of fibrinogen, triglyceride, total and high-density lipoprotein cholesterol, albumin, glycated haemoglobin, C reactive protein, body mass index and blood pressure, from which an allostatic load score was calculated. In sex-adjusted analyses, lower intelligence and lower social class in childhood were associated with an increased risk of frailty: relative risks (95% CIs) were 1.57 (1.21 to 2.03) for a SD decrease in intelligence and 1.48 (1.12 to 1.96) for a category decrease in social class. In the fully adjusted model, both associations ceased to be significant: relative risks were 1.13 (0.83 to 1.54) and 1.19 (0.86 to 1.61), respectively. Educational attainment had a significant mediating effect. Lower childhood intelligence in childhood, but not social class, was associated with higher allostatic load. The sex-adjusted coefficient for allostatic load for a SD decrease in intelligence was 0.10 (0.07 to 0.14). In the fully adjusted model, this association was attenuated but remained significant (0.05 (0.01 to 0.09)). Further research will need to investigate the mechanisms whereby lower childhood intelligence is linked to higher allostatic load in later life. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/
Walzer, Amy S; Czopp, Alexander M
2011-01-01
The stereotype content model (SCM) posits that warmth and competence are the key components underlying judgments about social groups. Because competence can encompass different components (e.g., intelligence, talent) different group members may be perceived to be competent for different reasons. Therefore, we believe it may be important to specify the type of competence being assessed when examining perceptions of groups that are positively stereotyped (i.e., Black athletes and musical Blacks). Consistent with the SCM, these subgroups were perceived as high in competence-talent but not in competence-intelligence and low in warmth. Both the intelligence and talent frame of competence fit in the SCM's social structural hypothesis.
The Aging Mind Proves Capable of Lifelong Growth.
ERIC Educational Resources Information Center
Goleman, Daniel
1984-01-01
Current research shows that, while fluid intelligence may decline with age, crystallized intelligence continues to rise over the life span. Key factors in maintaining mental capabilities include staying socially involved, being mentally active, and being flexible. (SK)
Cognitive differences between orang-utan species: a test of the cultural intelligence hypothesis
Forss, Sofia I. F.; Willems, Erik; Call, Josep; van Schaik, Carel P.
2016-01-01
Cultural species can - or even prefer to - learn their skills from conspecifics. According to the cultural intelligence hypothesis, selection on underlying mechanisms not only improves this social learning ability but also the asocial (individual) learning ability. Thus, species with systematically richer opportunities to socially acquire knowledge and skills should over time evolve to become more intelligent. We experimentally compared the problem-solving ability of Sumatran orang-utans (Pongo abelii), which are sociable in the wild, with that of the closely related, but more solitary Bornean orang-utans (P. pygmaeus), under the homogeneous environmental conditions provided by zoos. Our results revealed that Sumatrans showed superior innate problem-solving skills to Borneans, and also showed greater inhibition and a more cautious and less rough exploration style. This pattern is consistent with the cultural intelligence hypothesis, which predicts that the more sociable of two sister species experienced stronger selection on cognitive mechanisms underlying learning. PMID:27466052
Cognitive differences between orang-utan species: a test of the cultural intelligence hypothesis.
Forss, Sofia I F; Willems, Erik; Call, Josep; van Schaik, Carel P
2016-07-28
Cultural species can - or even prefer to - learn their skills from conspecifics. According to the cultural intelligence hypothesis, selection on underlying mechanisms not only improves this social learning ability but also the asocial (individual) learning ability. Thus, species with systematically richer opportunities to socially acquire knowledge and skills should over time evolve to become more intelligent. We experimentally compared the problem-solving ability of Sumatran orang-utans (Pongo abelii), which are sociable in the wild, with that of the closely related, but more solitary Bornean orang-utans (P. pygmaeus), under the homogeneous environmental conditions provided by zoos. Our results revealed that Sumatrans showed superior innate problem-solving skills to Borneans, and also showed greater inhibition and a more cautious and less rough exploration style. This pattern is consistent with the cultural intelligence hypothesis, which predicts that the more sociable of two sister species experienced stronger selection on cognitive mechanisms underlying learning.
ERIC Educational Resources Information Center
Primi, Ricardo
2002-01-01
Created two geometric inductive reasoning matrix tests by manipulating four sources of complexity orthogonally. Results for 313 undergraduates show that fluid intelligence is most strongly associated with the part of the central executive component of working memory that is related to controlled attention processing and selective encoding. (SLD)
Contributions of Associative Learning to Age and Individual Differences in Fluid Intelligence
ERIC Educational Resources Information Center
Tamez, Elaine; Myerson, Joel; Hale, Sandra
2012-01-01
According to the cognitive cascade hypothesis, age-related slowing results in decreased working memory, which in turn affects higher-order cognition. Because recent studies show complex associative learning correlates highly with fluid intelligence, the present study examined the role of complex associative learning in cognitive cascade models of…
Rosenfeld, Simon
2013-01-01
Complex biological systems manifest a large variety of emergent phenomena among which prominent roles belong to self-organization and swarm intelligence. Generally, each level in a biological hierarchy possesses its own systemic properties and requires its own way of observation, conceptualization, and modeling. In this work, an attempt is made to outline general guiding principles in exploration of a wide range of seemingly dissimilar phenomena observed in large communities of individuals devoid of any personal intelligence and interacting with each other through simple stimulus-response rules. Mathematically, these guiding principles are well captured by the Global Consensus Theorem (GCT) equally applicable to neural networks and to Lotka-Volterra population dynamics. Universality of the mechanistic principles outlined by GCT allows for a unified approach to such diverse systems as biological networks, communities of social insects, robotic communities, microbial communities, communities of somatic cells, social networks and many other systems. Another cluster of universal laws governing the self-organization in large communities of locally interacting individuals is built around the principle of self-organized criticality (SOC). The GCT and SOC, separately or in combination, provide a conceptual basis for understanding the phenomena of self-organization occurring in large communities without involvement of a supervisory authority, without system-wide informational infrastructure, and without mapping of general plan of action onto cognitive/behavioral faculties of its individual members. Cancer onset and proliferation serves as an important example of application of these conceptual approaches. In this paper, the point of view is put forward that apparently irreconcilable contradictions between two opposing theories of carcinogenesis, that is, the Somatic Mutation Theory and the Tissue Organization Field Theory, may be resolved using the systemic approaches provided by GST and SOC. PMID:23471309
Ethics in actor networks, or: what Latour could learn from Darwin and Dewey.
Waelbers, Katinka; Dorstewitz, Philipp
2014-03-01
In contemporary Science, Technology and Society (STS) studies, Bruno Latour's Actor Network Theory (ANT) is often used to study how social change arises from interaction between people and technologies. Though Latour's approach is rich in the sense of enabling scholars to appreciate the complexity of many relevant technological, environmental, and social factors in their studies, the approach is poor from an ethical point of view: the doings of things and people are couched in one and the same behaviorist (third person) vocabulary without giving due recognition to the ethical relevance of human intelligence, sympathy and reflection in making responsible choices. This article argues that two other naturalist projects, the non-teleological virtue ethics of Charles Darwin and the pragmatist instrumentalism of John Dewey can enrich ANT-based STS studies, both, in a descriptive and in a normative sense.
Is chess the drosophila of artificial intelligence? A social history of an algorithm.
Ensmenger, Nathan
2012-02-01
Since the mid 1960s, researchers in computer science have famously referred to chess as the 'drosophila' of artificial intelligence (AI). What they seem to mean by this is that chess, like the common fruit fly, is an accessible, familiar, and relatively simple experimental technology that nonetheless can be used productively to produce valid knowledge about other, more complex systems. But for historians of science and technology, the analogy between chess and drosophila assumes a larger significance. As Robert Kohler has ably described, the decision to adopt drosophila as the organism of choice for genetics research had far-reaching implications for the development of 20th century biology. In a similar manner, the decision to focus on chess as the measure of both human and computer intelligence had important and unintended consequences for AL research. This paper explores the emergence of chess as an experimental technology, its significance in the developing research practices of the AI community, and the unique ways in which the decision to focus on chess shaped the program of AI research in the decade of the 1970s. More broadly, it attempts to open up the virtual black box of computer software--and of computer games in particular--to the scrutiny of historical and sociological analysis.
Emotional Intelligence predicts individual differences in social exchange reasoning.
Reis, Deidre L; Brackett, Marc A; Shamosh, Noah A; Kiehl, Kent A; Salovey, Peter; Gray, Jeremy R
2007-04-15
When assessed with performance measures, Emotional Intelligence (EI) correlates positively with the quality of social relationships. However, the bases of such correlations are not understood in terms of cognitive and neural information processing mechanisms. We investigated whether a performance measure of EI is related to reasoning about social situations (specifically social exchange reasoning) using versions of the Wason Card Selection Task. In an fMRI study (N=16), higher EI predicted hemodynamic responses during social reasoning in the left frontal polar and left anterior temporal brain regions, even when controlling for responses on a very closely matched task (precautionary reasoning). In a larger behavioral study (N=48), higher EI predicted faster social exchange reasoning, after controlling for precautionary reasoning. The results are the first to directly suggest that EI is mediated in part by mechanisms supporting social reasoning and validate a new approach to investigating EI in terms of more basic information processing mechanisms.
Designing Crowdcritique Systems for Formative Feedback
ERIC Educational Resources Information Center
Easterday, Matthew W.; Rees Lewis, Daniel; Gerber, Elizabeth M.
2017-01-01
Intelligent tutors based on expert systems often struggle to provide formative feedback on complex, ill-defined problems where answers are unknown. Hybrid crowdsourcing systems that combine the intelligence of multiple novices in face-to-face settings might provide an alternate approach for providing intelligent formative feedback. The purpose of…
Intelligence and Creativity: A Complex but Important Relationship
ERIC Educational Resources Information Center
Plucker, Jonathan A.; Esping, Amber
2015-01-01
The relationship between intelligence and creativity is often discussed and debated, and it has significant implications for education, student development, and the workplace. We use Sternberg's framework for understanding intelligence-creativity work to examine research on this important topic, with an emphasis on several recent studies that…
Bridging the Gap: Enhancing SNA Within the Marine Corps Intelligence Community
2015-06-01
ENHANCING SNA WITHIN THE MARINE CORPS INTELLIGENCE COMMUNITY by Robert C. Schotter June 2015 Thesis Advisor: Raymond Buettner Co-Advisor...INTELLIGENCE COMMUNITY 5. FUNDING NUMBERS 6. AUTHOR(S) Robert C. Schotter 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval Postgraduate...United States Marine Corps and the Marine Corps’ intelligence community recognize that future adversaries are likely to be adaptive and complex. Both
Intelligence and the Social Scientist.
ERIC Educational Resources Information Center
Kass, Leon R.
1995-01-01
Uses the book, "The Bell Curve," to illustrate the problem of "dangerous knowledge" and its power to harm. The article examines what the book is saying about intelligence, its meaning to society, and the book's possible effect on radicalizing political thought. (GR)
DOT National Transportation Integrated Search
2012-01-01
This report documents the evolution, development, and lessons learned while attempting to identify, modify, and deploy Intelligent Transportation System (ITS) and advanced technology tools to facilitate coordination of public transit and social (huma...
Intelligence: new findings and theoretical developments.
Nisbett, Richard E; Aronson, Joshua; Blair, Clancy; Dickens, William; Flynn, James; Halpern, Diane F; Turkheimer, Eric
2012-01-01
We review new findings and new theoretical developments in the field of intelligence. New findings include the following: (a) Heritability of IQ varies significantly by social class. (b) Almost no genetic polymorphisms have been discovered that are consistently associated with variation in IQ in the normal range. (c) Much has been learned about the biological underpinnings of intelligence. (d) "Crystallized" and "fluid" IQ are quite different aspects of intelligence at both the behavioral and biological levels. (e) The importance of the environment for IQ is established by the 12-point to 18-point increase in IQ when children are adopted from working-class to middle-class homes. (f) Even when improvements in IQ produced by the most effective early childhood interventions fail to persist, there can be very marked effects on academic achievement and life outcomes. (g) In most developed countries studied, gains on IQ tests have continued, and they are beginning in the developing world. (h) Sex differences in aspects of intelligence are due partly to identifiable biological factors and partly to socialization factors. (i) The IQ gap between Blacks and Whites has been reduced by 0.33 SD in recent years. We report theorizing concerning (a) the relationship between working memory and intelligence, (b) the apparent contradiction between strong heritability effects on IQ and strong secular effects on IQ, (c) whether a general intelligence factor could arise from initially largely independent cognitive skills, (d) the relation between self-regulation and cognitive skills, and (e) the effects of stress on intelligence.
ERIC Educational Resources Information Center
Binder, Amy
2007-01-01
This article analyzes the newest front in the creationist battle: intelligent design. I demonstrate how reactions to this challenge can be productively examined using social movements concepts in the area of repression, or protest control, arguing that vigorous repression of challenger demands often leads to a growing sense of solidarity and moral…
Relationship between self-compassion and emotional intelligence in nursing students.
Şenyuva, Emine; Kaya, Hülya; Işik, Burçin; Bodur, Gönül
2014-12-01
Nursing focuses on meeting physical, social and emotional health-care needs of individuals, families and society. In health care, nurses directly communicate with patients and try to empathize with them. Nurses give care under emotionally intense conditions where the individual undergoes pain and distress. Research is aimed at analysing the correlation of self-compassion and emotional intelligence of nursing students. The population of the research consisted of all the undergraduate students (571 students) of the 2010-2011 fall semester of the department of nursing. An information form, Self-compassion Scale and Emotional Intelligence Assessment Scale were utilized to obtain data for the research. For the assessment of the findings of research, Statistical Package for Social Sciences 16.0 for Windows was utilized for statistical analysis. Results indicated that there is a correlation between self-compassion and emotional intelligence and that emotional intelligence, which includes the individual perceiving one's emotions and using the knowledge one gained from them to function while directing thoughts, actions and professional applications, has positive contributions to the features of nurses with developed self-compassion. © 2013 Wiley Publishing Asia Pty Ltd.
The Society of Brains: How Alan Turing and Marvin Minsky Were Both Right
NASA Astrophysics Data System (ADS)
Struzik, Zbigniew R.
2015-04-01
In his well-known prediction, Alan Turing stated that computer intelligence would surpass human intelligence by the year 2000. Although the Turing Test, as it became known, was devised to be played by one human against one computer, this is not a fair setup. Every human is a part of a social network, and a fairer comparison would be a contest between one human at the console and a network of computers behind the console. Around the year 2000, the number of web pages on the WWW overtook the number of neurons in the human brain. But these websites would be of little use without the ability to search for knowledge. By the year 2000 Google Inc. had become the search engine of choice, and the WWW became an intelligent entity. This was not without good reason. The basis for the search engine was the analysis of the ’network of knowledge’. The PageRank algorithm, linking information on the web according to the hierarchy of ‘link popularity’, continues to provide the basis for all of Google's web search tools. While PageRank was developed by Larry Page and Sergey Brin in 1996 as part of a research project about a new kind of search engine, PageRank is in its essence the key to representing and using static knowledge in an emergent intelligent system. Here I argue that Alan Turing was right, as hybrid human-computer internet machines have already surpassed our individual intelligence - this was done around the year 2000 by the Internet - the socially-minded, human-computer hybrid Homo computabilis-socialis. Ironically, the Internet's intelligence also emerged to a large extent from ‘exploiting’ humans - the key to the emergence of machine intelligence has been discussed by Marvin Minsky in his work on the foundations of intelligence through interacting agents’ knowledge. As a consequence, a decade and a half decade into the 21st century, we appear to be much better equipped to tackle the problem of the social origins of humanity - in particular thanks to the power of the intelligent partner-in-the-quest machine, however, we should not wait too long...
Development of a ROTC/Army Career Commitment Model. Volume 2, Appendices
1975-11-01
Biological Sciences 3. BusinE Administration 4. Genera, ’eaching and Social Service 5. Humanities, Law, Social and Behavioral Sciences 6. Fine Arts...Army do you intend to join? 1. Adjutant General’s Corps 9. Medical Service Corps 2. Air Defense Artillery 10. Military Intelligence 3. Armor 11...Chemical Corps 5. Corps of Engineers 6. Field Artillery 7. Finance Corps 8. Infantry 9. Medical Service Corps 10. Military Intelligence 11. Military Police
Intelligence, competitive altruism, and "clever silliness" may underlie bias in academe.
Madison, Guy; Dutton, Edward; Stern, Charlotta
2017-01-01
Why is social bias and its depressing effects on low-status or low-performing groups exaggerated? We show that the higher intelligence of academics has at best a very weak effect on reducing their bias, facilitates superficially justifying their biases, and may make them better at understanding the benefits of social conformity in general and competitive altruism specifically. We foresee a surge in research examining these mechanisms and recommend, meanwhile, reviving and better observing scientific ideals.
Goal neglect and knowledge chunking in the construction of novel behaviour.
Bhandari, Apoorva; Duncan, John
2014-01-01
Task complexity is critical in cognitive efficiency and fluid intelligence. To examine functional limits in task complexity, we examine the phenomenon of goal neglect, where participants with low fluid intelligence fail to follow task rules that they otherwise understand. Though neglect is known to increase with task complexity, here we show that - in contrast to previous accounts - the critical factor is not the total complexity of all task rules. Instead, when the space of task requirements can be divided into separate sub-parts, neglect is controlled by the complexity of each component part. The data also show that neglect develops and stabilizes over the first few performance trials, i.e. as instructions are first used to generate behaviour. In all complex behaviour, a critical process is combination of task events with retrieved task requirements to create focused attentional episodes dealing with each decision in turn. In large part, we suggest, fluid intelligence may reflect this process of converting complex requirements into effective attentional episodes. Copyright © 2013 The Authors. Published by Elsevier B.V. All rights reserved.
Quantitative Laughter Detection, Measurement, and Classification-A Critical Survey.
Cosentino, Sarah; Sessa, Salvatore; Takanishi, Atsuo
2016-01-01
The study of human nonverbal social behaviors has taken a more quantitative and computational approach in recent years due to the development of smart interfaces and virtual agents or robots able to interact socially. One of the most interesting nonverbal social behaviors, producing a characteristic vocal signal, is laughing. Laughter is produced in several different situations: in response to external physical, cognitive, or emotional stimuli; to negotiate social interactions; and also, pathologically, as a consequence of neural damage. For this reason, laughter has attracted researchers from many disciplines. A consequence of this multidisciplinarity is the absence of a holistic vision of this complex behavior: the methods of analysis and classification of laughter, as well as the terminology used, are heterogeneous; the findings sometimes contradictory and poorly documented. This survey aims at collecting and presenting objective measurement methods and results from a variety of different studies in different fields, to contribute to build a unified model and taxonomy of laughter. This could be successfully used for advances in several fields, from artificial intelligence and human-robot interaction to medicine and psychiatry.
Intelligence and Complexity of the Averaged Evoked Potential: An Attentional Theory.
ERIC Educational Resources Information Center
Bates, Tim; And Others
1995-01-01
A study measuring average evoked potentials in 21 college students finds that intelligence test scores correlate significantly with the difference between string length in attended and nonattended conditions, a finding that suggests that previous inconsistencies in reporting string length-intelligence correlations may have resulted from confound…
Working Memory, Visual-Spatial-Intelligence and Their Relationship to Problem-Solving
ERIC Educational Resources Information Center
Buhner, Markus; Kroner, Stephan; Ziegler, Matthias
2008-01-01
The relationship between working memory, intelligence and problem-solving is explored. Wittmann and Suss [Wittmann, W.W., & Suss, H.M. (1999). Investigating the paths between working memory, intelligence, knowledge, and complex problem-solving performances via Brunswik symmetry. In P.L. Ackerman, R.D. Roberts (Ed.), "Learning and individual…
Stupid Tutoring Systems, Intelligent Humans
ERIC Educational Resources Information Center
Baker, Ryan S.
2016-01-01
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
On Family Size and Intelligence.
ERIC Educational Resources Information Center
Armor, David J.
2001-01-01
Critiques research by Rodgers, et al. (June 2000) on the impact of family size on intelligence, explaining that it applied very simple analytic techniques to a very complex question, leading to unwarranted conclusions about family size and intelligence. Loss of cases, omission of an important ability test, and failure to apply multivariate…
Information-theoretic metamodel of organizational evolution
NASA Astrophysics Data System (ADS)
Sepulveda, Alfredo
2011-12-01
Social organizations are abstractly modeled by holarchies---self-similar connected networks---and intelligent complex adaptive multiagent systems---large networks of autonomous reasoning agents interacting via scaled processes. However, little is known of how information shapes evolution in such organizations, a gap that can lead to misleading analytics. The research problem addressed in this study was the ineffective manner in which classical model-predict-control methods used in business analytics attempt to define organization evolution. The purpose of the study was to construct an effective metamodel for organization evolution based on a proposed complex adaptive structure---the info-holarchy. Theoretical foundations of this study were holarchies, complex adaptive systems, evolutionary theory, and quantum mechanics, among other recently developed physical and information theories. Research questions addressed how information evolution patterns gleamed from the study's inductive metamodel more aptly explained volatility in organization. In this study, a hybrid grounded theory based on abstract inductive extensions of information theories was utilized as the research methodology. An overarching heuristic metamodel was framed from the theoretical analysis of the properties of these extension theories and applied to business, neural, and computational entities. This metamodel resulted in the synthesis of a metaphor for, and generalization of organization evolution, serving as the recommended and appropriate analytical tool to view business dynamics for future applications. This study may manifest positive social change through a fundamental understanding of complexity in business from general information theories, resulting in more effective management.
Developing Realistic Behaviors in Adversarial Agents for Air Combat Simulation
1993-12-01
34Building Symbolic Primitives with Continuous Control Rou- tines." Proceedings of the 1st International Conference on Aritificial Intelligence Planning...shortcoming is the minimal Air Force participation in this field. 1-1 Some of the artificial intelligence (AI) personnel at the Air Force Institute of... intelligent system that operates in a moderately complex or unpredictable environment must be reactive. In being reactive the intelligent system must
Intelligent classifier for dynamic fault patterns based on hidden Markov model
NASA Astrophysics Data System (ADS)
Xu, Bo; Feng, Yuguang; Yu, Jinsong
2006-11-01
It's difficult to build precise mathematical models for complex engineering systems because of the complexity of the structure and dynamics characteristics. Intelligent fault diagnosis introduces artificial intelligence and works in a different way without building the analytical mathematical model of a diagnostic object, so it's a practical approach to solve diagnostic problems of complex systems. This paper presents an intelligent fault diagnosis method, an integrated fault-pattern classifier based on Hidden Markov Model (HMM). This classifier consists of dynamic time warping (DTW) algorithm, self-organizing feature mapping (SOFM) network and Hidden Markov Model. First, after dynamic observation vector in measuring space is processed by DTW, the error vector including the fault feature of being tested system is obtained. Then a SOFM network is used as a feature extractor and vector quantization processor. Finally, fault diagnosis is realized by fault patterns classifying with the Hidden Markov Model classifier. The importing of dynamic time warping solves the problem of feature extracting from dynamic process vectors of complex system such as aeroengine, and makes it come true to diagnose complex system by utilizing dynamic process information. Simulating experiments show that the diagnosis model is easy to extend, and the fault pattern classifier is efficient and is convenient to the detecting and diagnosing of new faults.
A Risk Based Approach to Node Insertion Within Social Networks
2015-03-26
changes to enemy networks, tactical involvement must evolve, beginning with the intelligent use of network infiltration through the application of the...counterterrorism begins with the intelligent use of network infiltration, or the covert insertion of assets into a network, otherwise known as node insertion. The...Federal Bureau of Intelligence (FBI) defines an undercover operation as “an investigation involving a series of related undercover activities over a
Fusing Open Source Intelligence and Handheld Situational Awareness - Benghazi Case Study
2014-10-01
of the Battlespace (IPB) • Link OSINT to mobile SA 5 DM-0001694 Background • Between September 11 and 17, 2012, diplomatic missions in the...explore what might have been possible by integrating social media information ( OSINT ) with traditional intelligence combined with improved mobile...command and control element at the CIA compound that would have been monitoring OSINT and other sources of intelligence before the attack and
Working memory training may increase working memory capacity but not fluid intelligence.
Harrison, Tyler L; Shipstead, Zach; Hicks, Kenny L; Hambrick, David Z; Redick, Thomas S; Engle, Randall W
2013-12-01
Working memory is a critical element of complex cognition, particularly under conditions of distraction and interference. Measures of working memory capacity correlate positively with many measures of real-world cognition, including fluid intelligence. There have been numerous attempts to use training procedures to increase working memory capacity and thereby performance on the real-world tasks that rely on working memory capacity. In the study reported here, we demonstrated that training on complex working memory span tasks leads to improvement on similar tasks with different materials but that such training does not generalize to measures of fluid intelligence.
The BioIntelligence Framework: a new computational platform for biomedical knowledge computing
Farley, Toni; Kiefer, Jeff; Lee, Preston; Von Hoff, Daniel; Trent, Jeffrey M; Colbourn, Charles
2013-01-01
Breakthroughs in molecular profiling technologies are enabling a new data-intensive approach to biomedical research, with the potential to revolutionize how we study, manage, and treat complex diseases. The next great challenge for clinical applications of these innovations will be to create scalable computational solutions for intelligently linking complex biomedical patient data to clinically actionable knowledge. Traditional database management systems (DBMS) are not well suited to representing complex syntactic and semantic relationships in unstructured biomedical information, introducing barriers to realizing such solutions. We propose a scalable computational framework for addressing this need, which leverages a hypergraph-based data model and query language that may be better suited for representing complex multi-lateral, multi-scalar, and multi-dimensional relationships. We also discuss how this framework can be used to create rapid learning knowledge base systems to intelligently capture and relate complex patient data to biomedical knowledge in order to automate the recovery of clinically actionable information. PMID:22859646
By design: James Clerk Maxwell and the evangelical unification of science.
Stanley, Matthew
2012-03-01
James Clerk Maxwell's electromagnetic theory famously unified many of the Victorian laws of physics. This essay argues that Maxwell saw a deep theological significance in the unification of physical laws. He postulated a variation on the design argument that focused on the unity of phenomena rather than Paley's emphasis on complexity. This argument of Maxwell's is shown to be connected to his particular evangelical religious views. His evangelical perspective provided encouragement for him to pursue a unified physics that supplemented his other philosophical, technical and social influences. Maxwell's version of the argument from design is also contrasted with modern 'intelligent-design' theory.
Cognitive Similarities between Academically and Socially Gifted Students.
ERIC Educational Resources Information Center
Jones, Karen; Day, Jeanne D.
1996-01-01
This article compares research findings on heightened cognitive flexibility in academically gifted children and similar flexibility in social intelligence. It proposes that social-cognitive flexibility (the ability to adapt prior social knowledge to formulate solutions to new interpersonal situations) is an important component of social…
Human consciousness and its relationship to social neuroscience: A novel hypothesis
Graziano, Michael S. A.; Kastner, Sabine
2011-01-01
A common modern view of consciousness is that it is an emergent property of the brain, perhaps caused by neuronal complexity, and perhaps with no adaptive value. Exactly what emerges, how it emerges, and from what specific neuronal process, is in debate. One possible explanation of consciousness, proposed here, is that it is a construct of the social perceptual machinery. Humans have specialized neuronal machinery that allows us to be socially intelligent. The primary role for this machinery is to construct models of other people’s minds thereby gaining some ability to predict the behavior of other individuals. In the present hypothesis, awareness is a perceptual reconstruction of attentional state; and the machinery that computes information about other people’s awareness is the same machinery that computes information about our own awareness. The present article brings together a variety of lines of evidence including experiments on the neural basis of social perception, on hemispatial neglect, on the out-of-body experience, on mirror neurons, and on the mechanisms of decision-making, to explore the possibility that awareness is a construct of the social machinery in the brain. PMID:22121395
Tyszkiewicz-Bandur, Monika
2013-01-01
For the purposes of this research attachment theory was incorporated into the concept of emotional intelligence. The methodological starting point of this study was the assumption that the level of emotional intelligence and social competence is related to a steady feature, namely the type of attachment. Standardized questionnaires available in the Laboratory of Psychological Tests of the Polish Psychological Association were chosen to measure the level of emotional intelligence. However, the type of attachment was studied by Bartholomew's Self Description Test in my own translation. The study involved two groups of students, who were compared: 147 people from the Faculty of Health Sciences/Faculty of Nursing (nursing, midwifery, health promotion, cosmetology, emergency medicine, dietetics), and 181 people from the Faculty of Medicine (medicine), students in their second and third years of studies. A total of 328 people, aged 19-24, were tested. On the basis of the results it was stated that students of the Faculty of Health Sciences/Faculty of Nursing, as compared to students of the Faculty of Medicine, received significantly higher scores on the scale of the social competence scale, which investigated the efficiency of their behaviour in intimate situations. Moreover, statistical analysis proved that students of the Faculty of Health Sciences showed significantly higher scores than those studying at the Faculty of Medicine in the following fields: KKS-I subscale assessing social competencies in--conditioning effective behaviour in intimate situations, emotional intelligence measured with the INTE questionnaire,--awareness of their own emotional states and understanding their causes (DINEMO-I),--ability to recognize emotions in other people and understanding the reasons for the reactions expressed by them (DINEMO-Others)--emotional intelligence measured with the DINEMO questionnaire (DINEMO-general score). Women from both faculties showed higher social competence than men in the KKS-I, and higher emotional intelligence according to the INTE questionnaire and DINEMO: the overall result, DINEMO-Others and DINEMO-I (in the last scale, at level 0.065). Male students, from both faculties, showed significantly higher social competence in conditioning effectiveness of behaviour in situations requiring assertiveness (KKS-A). Taking into consideration the results of this study, the answer to the question of whether it is reasonable and necessary to develop skills among the examined students seems to be obvious. Indeed, assertive behaviours should be trained for at the Faculty of Health Sciences. At the same time skills related to EI--such as perceiving and processing emotional information, awareness of one's own and others' emotions, and associated social competencies in conditioning effective behaviours in intimate situations--should be trained for at the Faculty of Medicine.
Systems Intelligence Inventory
ERIC Educational Resources Information Center
Törmänen, Juha; Hämäläinen, Raimo P.; Saarinen, Esa
2016-01-01
Purpose: Systems intelligence (SI) (Saarinen and Hämäläinen, 2004) is a construct defined as a person's ability to act intelligently within complex systems involving interaction and feedback. SI relates to our ability to act in systems and reason about systems to adaptively carry out productive actions within and with respect to systems such as…
Present Status and Challenges of Intellectual Assessment in India
ERIC Educational Resources Information Center
Basu, Jayanti
2016-01-01
Intelligence testing was one of the earliest interests of psychologists in India. Adaptation of Western intelligence tests has been a focus of psychologists in the first half of the last century. Indigenous development of intelligence tests has been attempted, but diversity of language and culture, complexity of school systems, and infrastructural…
Training Engineers for the Ambient Intelligence Challenge
ERIC Educational Resources Information Center
Corno, Fulvio; De Russis, Luigi
2017-01-01
The increasing complexity of the new breed of distributed intelligent systems, such as the Internet of Things, which require a diversity of languages and protocols, can only be tamed with design and programming best practices. Interest is also growing for including the human factor, as advocated by the "ambient intelligence" (AmI)…
Childhood intelligence and adult obesity.
Kanazawa, Satoshi
2013-03-01
Recent studies conclude childhood intelligence has no direct effect on adult obesity net of education, but evolutionary psychological theories suggest otherwise. A population (n = 17,419) of British babies has been followed since birth in 1958 in a prospectively longitudinal study. Childhood general intelligence is measured at 7, 11, and 16, and adult BMI and obesity are measured at 51. Childhood general intelligence has a direct effect on adult BMI, obesity, and weight gain, net of education, earnings, mother's BMI, father's BMI, childhood social class, and sex. More intelligent children grow up to eat more healthy foods and exercise more frequently as adults. Childhood intelligence has a direct effect on adult obesity unmediated by education or earnings. General intelligence decreases BMI only in adulthood when individuals have complete control over what they eat. Copyright © 2012 The Obesity Society.
ERIC Educational Resources Information Center
Mitchell, Christine M.; Govindaraj, T.
1990-01-01
Discusses the use of intelligent tutoring systems as opposed to traditional on-the-job training for training operators of complex dynamic systems and describes the computer architecture for a system for operators of a NASA (National Aeronautics and Space Administration) satellite control system. An experimental evaluation with college students is…
Complex Intelligent Systems: Juxtaposition of Foundational Notions and a Research Agenda
NASA Astrophysics Data System (ADS)
Gelepithis, Petros A.
2001-11-01
The cardinality of the class, C , of complex intelligent systems, i.e., systems of intelligent systems and their resources, is steadily increasing. Such an increase, whether designed, sometimes changes significantly and fundamentally, the structure of C . Recently,the study of members of C and its structure comes under a variety of multidisciplinary headings the most prominent of which include General Systems Theory, Complexity Science, Artificial Life, and Cybernetics. Their common characteristic is the quest for a unified theory of a certain class of systems like a living system or an organisation. So far, the only candidate for a general theory of intelligent systems is Newell's Soar. To my knowledge there is presently no candidate theory of C except Newell's claimed extensibility of Soar. This paper juxtaposes the elements of Newell's conceptual basis with those of an alternative conceptual framework based on the thesis that communication and understanding are the primary processes shaping the structure of C and its members. It is patently obvious that a research agenda for the study of C can be extremely varied and long. The third section of this paper presents a highly selective research agenda that aims to provoke discussion among complexity theory scientists.
An efficient link prediction index for complex military organization
NASA Astrophysics Data System (ADS)
Fan, Changjun; Liu, Zhong; Lu, Xin; Xiu, Baoxin; Chen, Qing
2017-03-01
Quality of information is crucial for decision-makers to judge the battlefield situations and design the best operation plans, however, real intelligence data are often incomplete and noisy, where missing links prediction methods and spurious links identification algorithms can be applied, if modeling the complex military organization as the complex network where nodes represent functional units and edges denote communication links. Traditional link prediction methods usually work well on homogeneous networks, but few for the heterogeneous ones. And the military network is a typical heterogeneous network, where there are different types of nodes and edges. In this paper, we proposed a combined link prediction index considering both the nodes' types effects and nodes' structural similarities, and demonstrated that it is remarkably superior to all the 25 existing similarity-based methods both in predicting missing links and identifying spurious links in a real military network data; we also investigated the algorithms' robustness under noisy environment, and found the mistaken information is more misleading than incomplete information in military areas, which is different from that in recommendation systems, and our method maintained the best performance under the condition of small noise. Since the real military network intelligence must be carefully checked at first due to its significance, and link prediction methods are just adopted to purify the network with the left latent noise, the method proposed here is applicable in real situations. In the end, as the FINC-E model, here used to describe the complex military organizations, is also suitable to many other social organizations, such as criminal networks, business organizations, etc., thus our method has its prospects in these areas for many tasks, like detecting the underground relationships between terrorists, predicting the potential business markets for decision-makers, and so on.
ERIC Educational Resources Information Center
Butler, Brandon M.; Suh, Yonghee; Scott, Wendy
2015-01-01
In this article, the authors investigate the extent to which 9 elementary social studies methods textbooks present the purpose of teaching and learning social studies. Using Stanley's three perspectives of teaching social studies for knowledge transmission, method of intelligence, and social transformation; we analyze how these texts prepare…
Investigating Social Competence in Students with High Intelligence
ERIC Educational Resources Information Center
Schirvar, Wendi Margaret
2013-01-01
Social competence is vital for healthy development (Canto-Sperber & Dupuy, 2001; Spence, Barrett & Tuner, 2003). Beginning in childhood and heavily influenced by culture, social competence develops as we combine personal and environmental resources for positive social outcomes and includes the absence of negative behaviors alongside the…
Life History Theory and Social Deviance: The Mediating Role of Executive Function
ERIC Educational Resources Information Center
Wenner, C. J.; Bianchi, J.; Figueredo, A. J.; Rushton, J. Philippe; Jacobs, W. J.
2013-01-01
The present work examined predicted relations among Life History strategies, Executive Functions, socially antagonistic attitudes, socially antagonistic behaviors, and general intelligence. Life History (LH) theory predicts that Executive Functions and socially antagonistic attitudes and behaviors underpin an interrelated and coherent set of…
BRI: Cyber Trust and Suspicion
2017-06-06
Basis for Trust and Suspicion: Manipulating Insider Threat In Cyber Intelligence & Operations: For 2013, the concepts of Predictability...1 THRUST 1 – A SOCIAL, CULTURAL, AND EMOTIONAL BASIS FOR TRUST AND SUSPICION: MANIPULATING INSIDER THREAT IN CYBER INTELLIGENCE ...APPROACH ......................................... 59 3.1 Cybersecurity with humans in the loop
Teachers' Emotional Intelligence: The Impact of Training
ERIC Educational Resources Information Center
Dolev, Nina; Leshem, Shosh
2016-01-01
A growing number of studies have suggested that teachers' personal competencies, and more specifically Emotional Intelligence (EI), are particularly important for teacher effectiveness. Recently, there has also been a growing recognition of the importance of social-emotional competencies to students' learning and academic achievement. However,…
A Kaleidoscopic View of Change: Bringing Emotional Literacy into the Library Learning Experience.
ERIC Educational Resources Information Center
Toben, Janice
1997-01-01
Discusses emotional literacy, which combines emotions, intelligence, and literacy, and suggests ways to increase emotional intelligence in school libraries and classrooms. Emotional literacy skills include self-awareness, empathy, social problem solving, mood management, and the understanding of motivation. (LRW)
Czarna, Anna Z; Leifeld, Philip; Śmieja, Magdalena; Dufner, Michael; Salovey, Peter
2016-09-27
This research investigated effects of narcissism and emotional intelligence (EI) on popularity in social networks. In a longitudinal field study, we examined the dynamics of popularity in 15 peer groups in two waves (N = 273). We measured narcissism, ability EI, and explicit and implicit self-esteem. In addition, we measured popularity at zero acquaintance and 3 months later. We analyzed the data using inferential network analysis (temporal exponential random graph modeling, TERGM) accounting for self-organizing network forces. People high in narcissism were popular, but increased less in popularity over time than people lower in narcissism. In contrast, emotionally intelligent people increased more in popularity over time than less emotionally intelligent people. The effects held when we controlled for explicit and implicit self-esteem. These results suggest that narcissism is rather disadvantageous and that EI is rather advantageous for long-term popularity. © 2016 by the Society for Personality and Social Psychology, Inc.
Lopez-Zafra, Esther; El Ghoudani, Karima
2014-01-01
Migration is a normal process of people seeking new opportunities, work, or leisure in societies. The way people adapt to a new country (acculturation) is a complex process in which immigrants' evaluations about the culture of origin and their perceptions of the host country interact. The combination of these two factors produces four types of acculturation: separation, assimilation, integration, and marginalization. Several variables, such as personality, attitudes, and emotional intelligence, have been studied to help explain this process. However, the impact of a culture of honor and its interaction with other variables remains an open question that may help to explain how migrants can better adjust to their host culture. In this study, we examine the influence of the culture of honor (social) and emotional intelligence (individual) on acculturation. In a sample of 129 Moroccan women (mean age = 29, SD = 9.40) immigrants in Spain (mean time in Spain = 6 years, SD = 3.60), we investigated the relations among the variables of interest. Our results show that no significant differences emerged in the scores given for culture of honor (CH) and the acculturation strategies of the Moroccan immigrant women F(3, 99) = .233; p = .87. However women who preferred the integration strategy scored highest on emotional intelligence (EI), whereas the assimilated immigrants showed the lowest scores for EI F(3, 92) = 4.63; p = .005. Additionally, only in the case of integration does EI mediate between CH and the value given to the immigrant's own and host cultures (p <.001).
Multiple paths to encephalization and technical civilizations.
Schwartzman, David; Middendorf, George
2011-12-01
We propose consideration of at least two possible evolutionary paths for the emergence of intelligent life with the potential for technical civilization. The first is the path via encephalization of homeothermic animals; the second is the path to swarm intelligence of so-called superorganisms, in particular the social insects. The path to each appears to be facilitated by environmental change: homeothermic animals by decreased climatic temperature and for swarm intelligence by increased oxygen levels.
Developing an intelligence analysis process through social network analysis
NASA Astrophysics Data System (ADS)
Waskiewicz, Todd; LaMonica, Peter
2008-04-01
Intelligence analysts are tasked with making sense of enormous amounts of data and gaining an awareness of a situation that can be acted upon. This process can be extremely difficult and time consuming. Trying to differentiate between important pieces of information and extraneous data only complicates the problem. When dealing with data containing entities and relationships, social network analysis (SNA) techniques can be employed to make this job easier. Applying network measures to social network graphs can identify the most significant nodes (entities) and edges (relationships) and help the analyst further focus on key areas of concern. Strange developed a model that identifies high value targets such as centers of gravity and critical vulnerabilities. SNA lends itself to the discovery of these high value targets and the Air Force Research Laboratory (AFRL) has investigated several network measures such as centrality, betweenness, and grouping to identify centers of gravity and critical vulnerabilities. Using these network measures, a process for the intelligence analyst has been developed to aid analysts in identifying points of tactical emphasis. Organizational Risk Analyzer (ORA) and Terrorist Modus Operandi Discovery System (TMODS) are the two applications used to compute the network measures and identify the points to be acted upon. Therefore, the result of leveraging social network analysis techniques and applications will provide the analyst and the intelligence community with more focused and concentrated analysis results allowing them to more easily exploit key attributes of a network, thus saving time, money, and manpower.
The dynamics of Machiavellian intelligence.
Gavrilets, Sergey; Vose, Aaron
2006-11-07
The "Machiavellian intelligence" hypothesis (or the "social brain" hypothesis) posits that large brains and distinctive cognitive abilities of humans have evolved via intense social competition in which social competitors developed increasingly sophisticated "Machiavellian" strategies as a means to achieve higher social and reproductive success. Here we build a mathematical model aiming to explore this hypothesis. In the model, genes control brains which invent and learn strategies (memes) which are used by males to gain advantage in competition for mates. We show that the dynamics of intelligence has three distinct phases. During the dormant phase only newly invented memes are present in the population. During the cognitive explosion phase the population's meme count and the learning ability, cerebral capacity (controlling the number of different memes that the brain can learn and use), and Machiavellian fitness of individuals increase in a runaway fashion. During the saturation phase natural selection resulting from the costs of having large brains checks further increases in cognitive abilities. Overall, our results suggest that the mechanisms underlying the "Machiavellian intelligence" hypothesis can indeed result in the evolution of significant cognitive abilities on the time scale of 10 to 20 thousand generations. We show that cerebral capacity evolves faster and to a larger degree than learning ability. Our model suggests that there may be a tendency toward a reduction in cognitive abilities (driven by the costs of having a large brain) as the reproductive advantage of having a large brain decreases and the exposure to memes increases in modern societies.
Faith in the algorithm, part 1: beyond the turing test
DOE Office of Scientific and Technical Information (OSTI.GOV)
Rodriguez, Marko A; Pepe, Alberto
2009-01-01
Since the Turing test was first proposed by Alan Turing in 1950, the goal of artificial intelligence has been predicated on the ability for computers to imitate human intelligence. However, the majority of uses for the computer can be said to fall outside the domain of human abilities and it is exactly outside of this domain where computers have demonstrated their greatest contribution. Another definition for artificial intelligence is one that is not predicated on human mimicry, but instead, on human amplification, where the algorithms that are best at accomplishing this are deemed the most intelligent. This article surveys variousmore » systems that augment human and social intelligence.« less
The dynamic lift of developmental process.
Smith, Linda B; Breazeal, Cynthia
2007-01-01
What are the essential properties of human intelligence, currently unparalleled in its power relative to other biological forms and relative to artificial forms of intelligence? We suggest that answering this question depends critically on understanding developmental process. This paper considers three principles potentially essential to building human-like intelligence: the heterogeneity of the component processes, the embedding of development in a social world, and developmental processes that change the cognitive system as a function of the history of soft-assemblies of these heterogeneous processes in specific tasks. The paper uses examples from human development and from developmental robotics to show how these processes also may underlie biological intelligence and enable us to generate more advanced forms of artificial intelligence.
Emotional Intelligence deficits in schizophrenia: The impact of non-social cognition.
Frajo-Apor, Beatrice; Pardeller, Silvia; Kemmler, Georg; Welte, Anna-Sophia; Hofer, Alex
2016-04-01
Previous studies using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) revealed significant performance deficits across all areas of Emotional Intelligence (EI) in schizophrenia patients compared to healthy controls. However, none of these studies has investigated a potential influence of non-social cognition on these findings. 56 schizophrenia outpatients and 84 control subjects were investigated using the MSCEIT and the Brief Assessment of Cognition in Schizophrenia (BACS). Analyses of covariance were performed with adjustment for the BACS composite score and education. To investigate this issue in more detail, a mediation analysis was conducted. Patients showed significantly lower EI and non-social cognition levels compared to healthy controls. After adjustment for BACS composite score and education, only the group difference in the "managing emotions" branch and thus in the "strategic" EI part of the MSCEIT remained statistically significant, whereas for all other MSCEIT branches (perceiving, using, understanding emotions) statistical significance was lost. The mediation analysis revealed that the difference between schizophrenia patients and controls regarding the MSCEIT total score was almost fully attributable to the mediating effect of non-social cognition. Our findings suggest that in schizophrenia patients EI is largely influenced by non-social cognitive functioning. Only the "managing emotions" branch was found to be independent of non-social cognition. Consequently, non-social cognitive performance was mainly responsible for the observed differences in EI between schizophrenia patients and controls. This has to be taken into account when interpreting MSCEIT data in this population. Copyright © 2016 Elsevier B.V. All rights reserved.
From Planetary Intelligence to Planetary Wisdom
NASA Astrophysics Data System (ADS)
Moser, S. C.
2016-12-01
"Planetary intelligence" - when understood as an input into the processes of "managing" Earth - hints at an instrumental understanding of scientific information. At minimum it is a call for useful data of political (and even military) value; at best it speaks to an ability to collect, integrate and apply such information. In this sense, 21st century society has more "intelligence" than any generation of humans before, begging the question whether just more or better "planetary intelligence" will do anything at all to move us off the path of planetary destruction (i.e., beyond planetary boundaries) that it has been on for decades if not centuries. Social scientists have argued that there are at least four shortcomings in this way of thinking that - if addressed - could open up 1) what is being researched; 2) what is considered socially robust knowledge; 3) how science interacts with policy-makers and other "planet managers"; and 4) what is being done in practice with the "intelligence" given to those positioned at the levers of change. To the extent "planetary management" continues to be approached from a scientistic paradigm alone, there is little hope that Earth's future will remain in a safe operating space in this or coming centuries.
Intelligence as the efficiency of cue-driven retrieval from secondary memory.
Liesefeld, Heinrich René; Hoffmann, Eugenia; Wentura, Dirk
2016-01-01
Complex-span (working-memory-capacity) tasks are among the most successful predictors of intelligence. One important contributor to this relationship is the ability to efficiently employ cues for the retrieval from secondary memory. Presumably, intelligent individuals can considerably restrict their memory search sets by using such cues and can thereby improve recall performance. We here test this assumption by experimentally manipulating the validity of retrieval cues. When memoranda are drawn from the same semantic category on two successive trials of a verbal complex-span task, the category is a very strong retrieval cue on its first occurrence (strong-cue trial) but loses some of its validity on its second occurrence (weak-cue trial). If intelligent individuals make better use of semantic categories as retrieval cues, their recall accuracy suffers more from this loss of cue validity. Accordingly, our results show that less variance in intelligence is explained by recall accuracy on weak-cue compared with strong-cue trials.
The Future Cybersecurity Workforce: Going Beyond Technical Skills for Successful Cyber Performance.
Dawson, Jessica; Thomson, Robert
2018-01-01
One of the challenges in writing an article reviewing the current state of cyber education and workforce development is that there is a paucity of quantitative assessment regarding the cognitive aptitudes, work roles, or team organization required by cybersecurity professionals to be successful. In this review, we argue that the people who operate within the cyber domain need a combination of technical skills, domain specific knowledge, and social intelligence to be successful. They, like the networks they operate, must also be reliable, trustworthy, and resilient. Defining the knowledge, skills, attributes, and other characteristics is not as simple as defining a group of technical skills that people can be trained on; the complexity of the cyber domain makes this a unique challenge. There has been little research devoted to exactly what attributes individuals in the cyber domain need. What research does exist places an emphasis on technical and engineering skills while discounting the important social and organizational influences that dictate success or failure in everyday settings. This paper reviews the literature on cyber expertise and cyber workforce development to identify gaps and then argues for the important contribution of social fit in the highly complex and heterogenous cyber workforce. We then identify six assumptions for the future of cybersecurity workforce development, including the requirement for systemic thinkers, team players, a love for continued learning, strong communication ability, a sense of civic duty, and a blend of technical and social skill. Finally, we make recommendations for social and cognitive metrics which may be indicative of future performance in cyber work roles to provide a roadmap for future scholars.
Hill, W D; Davies, G; van de Lagemaat, L N; Christoforou, A; Marioni, R E; Fernandes, C P D; Liewald, D C; Croning, M D R; Payton, A; Craig, L C A; Whalley, L J; Horan, M; Ollier, W; Hansell, N K; Wright, M J; Martin, N G; Montgomery, G W; Steen, V M; Le Hellard, S; Espeseth, T; Lundervold, A J; Reinvang, I; Starr, J M; Pendleton, N; Grant, S G N; Bates, T C; Deary, I J
2014-01-01
Differences in general cognitive ability (intelligence) account for approximately half of the variation in any large battery of cognitive tests and are predictive of important life events including health. Genome-wide analyses of common single-nucleotide polymorphisms indicate that they jointly tag between a quarter and a half of the variance in intelligence. However, no single polymorphism has been reliably associated with variation in intelligence. It remains possible that these many small effects might be aggregated in networks of functionally linked genes. Here, we tested a network of 1461 genes in the postsynaptic density and associated complexes for an enriched association with intelligence. These were ascertained in 3511 individuals (the Cognitive Ageing Genetics in England and Scotland (CAGES) consortium) phenotyped for general cognitive ability, fluid cognitive ability, crystallised cognitive ability, memory and speed of processing. By analysing the results of a genome wide association study (GWAS) using Gene Set Enrichment Analysis, a significant enrichment was found for fluid cognitive ability for the proteins found in the complexes of N-methyl-D-aspartate receptor complex; P=0.002. Replication was sought in two additional cohorts (N=670 and 2062). A meta-analytic P-value of 0.003 was found when these were combined with the CAGES consortium. The results suggest that genetic variation in the macromolecular machines formed by membrane-associated guanylate kinase (MAGUK) scaffold proteins and their interaction partners contributes to variation in intelligence. PMID:24399044
ERIC Educational Resources Information Center
Skinner, Anna; Diller, David; Kumar, Rohit; Cannon-Bowers, Jan; Smith, Roger; Tanaka, Alyssa; Julian, Danielle; Perez, Ray
2018-01-01
Background: Contemporary work in the design and development of intelligent training systems employs task analysis (TA) methods for gathering knowledge that is subsequently encoded into task models. These task models form the basis of intelligent interpretation of student performance within education and training systems. Also referred to as expert…
1989-10-01
of.ezpertiae Seymour. Wright (or artificisi. intelligence distributed. ai planning robo tics computer.vsion))." Implementation: (replace-values-in-constraint...by mechanical partners or advisors that customize the system’s response to the idiosyncrasies of the student. This paper describes the initial
Learning Companion Systems, Social Learning Systems, and the Global Social Learning Club.
ERIC Educational Resources Information Center
Chan, Tak-Wai
1996-01-01
Describes the development of learning companion systems and their contributions to the class of social learning systems that integrate artificial intelligence agents and use machine learning to tutor and interact with students. Outlines initial social learning projects, their programming languages, and weakness. Future improvements will include…
Teaching Social Skills: An Effective Online Program
ERIC Educational Resources Information Center
Sanchez, Rebecca P.; Brown, Emily; DeRosier, Melissa E.
2015-01-01
Educators, policymakers, and the general public agree that social skills should be taught to children. In an effort to bridge this gap between evidence-based social skills training and populations in need, the authors have developed an Intelligent Social Tutoring System (ISTS) that fosters learning through adaptive interaction between the student…
Generating Predictive Movie Recommendations from Trust in Social Networks
2006-01-01
act "intelligently" with respect to the user’s social connections. This can be further refined by looking at specific features of social ... relationships . Nearly half of the social networks found in the aforementioned list provide some means for users to add information about their relationships
2016-11-01
Report to Congressional Requesters November 2016 GAO-17-29 United States Government Accountability Office United States Government... Accountability Office Highlights of GAO-17-29, a report to congressional requesters November 2016 JOINT INTELLIGENCE ANALYSIS COMPLEX DOD...of scope, according to DOD and Air Force officials. However, without fully accounting for life- cycle costs, management may have difficulty
A Model of Adolescent Parenting: The Role of Cognitive Readiness To Parent.
ERIC Educational Resources Information Center
O'Callaghan, Mary F.; Borkowski, John G.; Whitman, Thomas L.; Maxwell, Scott E.; Keogh, Deborah
1999-01-01
Assessed prenatal maternal variables (cognitive readiness, personal adjustment, intelligence, social supports) in pregnant adolescents, and additional variables when infants were 6 months old (perceived child characteristics, parenting). Used structural modeling to identify paths to parenting skill and style. Found that maternal intelligence and…
ERIC Educational Resources Information Center
Trejo, Arturo
2013-01-01
The present quantitative correlational research study explored relationships between Emotional Intelligence (EI) competencies, such as self-awareness, self-management, social awareness, and relationship management, and project management outcomes: scope creep, in-budget project cost, and project timeliness. The study was conducted within the…
Can We Make Our Students Smarter?
ERIC Educational Resources Information Center
Dweck, Carol S.
2009-01-01
The debate over whether intelligence is largely fixed or malleable is not over. What is most exciting, however, is the research from social psychology, developmental psychology, cognitive psychology, and neuroscience that is highlighting just how malleable intelligence is. Differences in achievement among racial, ethnic, or gender groups have…
Emotional Intelligence: Impact on Post-Secondary Academic Achievement
ERIC Educational Resources Information Center
Garg, Rashmi; Levin, Elizabeth; Tremblay, Line
2016-01-01
This research examined the simultaneous influences of emotional intelligence, adjustment to university, authoritative versus other parenting style, and high school average on first year university students' grade point average (GPA) via structural equation modeling. The participants were 299 first year students from the social science faculty at…
Progress in Mental Development of Retarded Cerebral Palsied Infants
ERIC Educational Resources Information Center
Banham, Katharine M.
1972-01-01
Reported were scores on the Cattell Infant Intelligence Scale, the Stanford Binet Intelligence Scale (Form L-M), the Quick Screening Scale of Mental Development, and the Vineland Social Maturity Scale achieved by 102 retarded, cerebral palsied infants who were in a hospital rehabilitation program. (GW)
How Business Intelligence and Social Interaction Amplify Organizational Cognition
ERIC Educational Resources Information Center
Penn, Stephen Paul
2012-01-01
This systematic literature review of current scholarship on business intelligence, individual decision-making behavior, strategy as practice, and strategic planning offers a roadmap for firms seeking to increase their competitive advantage through data driven decision-making. Planning, deciding, and using information is a single phenomenon where…
Socially grounded game strategy enhances bonding and perceived smartness of a humanoid robot
NASA Astrophysics Data System (ADS)
Barakova, E. I.; De Haas, M.; Kuijpers, W.; Irigoyen, N.; Betancourt, A.
2018-01-01
In search for better technological solutions for education, we adapted a principle from economic game theory, namely that giving a help will promote collaboration and eventually long-term relations between a robot and a child. This principle has been shown to be effective in games between humans and between humans and computer agents. We compared the social and cognitive engagement of children when playing checkers game combined with a social strategy against a robot or against a computer. We found that by combining the social and game strategy the children (average age of 8.3 years) had more empathy and social engagement with the robot since the children did not want to necessarily win against it. This finding is promising for using social strategies for the creation of long-term relations between robots and children and making educational tasks more engaging. An additional outcome of the study was the significant difference in the perception of the children about the difficulty of the game - the game with the robot was seen as more challenging and the robot - as a smarter opponent. This finding might be due to the higher perceived or expected intelligence from the robot, or because of the higher complexity of seeing patterns in three-dimensional world.
A Synthesis of Spiritual Intelligence Themes from Islamic and Western Philosophical Perspectives.
Hanefar, Shamsiah Banu; Sa'ari, Che Zarrina; Siraj, Saedah
2016-12-01
Spiritual intelligence is an emerging term that is widely discussed and accepted as one of the main components that addresses and solves many life problems. Nonetheless there is no specific study being done to synthesize the spiritual intelligence themes from Western and Islamic philosophical perspectives. This research aimed to identify common spiritual intelligence themes from these two perspectives and elucidated its contents by the view of two well-known Islamic scholars; al-Ghazali and Hasan Langgulung. Seven spiritual intelligence themes were identified through thematic analysis; meaning/purpose of life, consciousness, transcendence, spiritual resources, self-determination, reflection-soul purification and spiritual coping with obstacles. These findings will be the groundwork for centered theory of spiritual intelligence themes that synthesize the Islamic and Western philosophical perspectives. It is hoped that this study will contribute significantly to the development of valid and reliable spiritual intelligence themes beyond the social and cultural boundaries.
Kreifelts, Benjamin; Ethofer, Thomas; Huberle, Elisabeth; Grodd, Wolfgang; Wildgruber, Dirk
2010-07-01
Multimodal integration of nonverbal social signals is essential for successful social interaction. Previous studies have implicated the posterior superior temporal sulcus (pSTS) in the perception of social signals such as nonverbal emotional signals as well as in social cognitive functions like mentalizing/theory of mind. In the present study, we evaluated the relationships between trait emotional intelligence (EI) and fMRI activation patterns in individual subjects during the multimodal perception of nonverbal emotional signals from voice and face. Trait EI was linked to hemodynamic responses in the right pSTS, an area which also exhibits a distinct sensitivity to human voices and faces. Within all other regions known to subserve the perceptual audiovisual integration of human social signals (i.e., amygdala, fusiform gyrus, thalamus), no such linked responses were observed. This functional difference in the network for the audiovisual perception of human social signals indicates a specific contribution of the pSTS as a possible interface between the perception of social information and social cognition. (c) 2009 Wiley-Liss, Inc.
Editorial: Cognitive Architectures, Model Comparison and AGI
NASA Astrophysics Data System (ADS)
Lebiere, Christian; Gonzalez, Cleotilde; Warwick, Walter
2010-12-01
Cognitive Science and Artificial Intelligence share compatible goals of understanding and possibly generating broadly intelligent behavior. In order to determine if progress is made, it is essential to be able to evaluate the behavior of complex computational models, especially those built on general cognitive architectures, and compare it to benchmarks of intelligent behavior such as human performance. Significant methodological challenges arise, however, when trying to extend approaches used to compare model and human performance from tightly controlled laboratory tasks to complex tasks involving more open-ended behavior. This paper describes a model comparison challenge built around a dynamic control task, the Dynamic Stocks and Flows. We present and discuss distinct approaches to evaluating performance and comparing models. Lessons drawn from this challenge are discussed in light of the challenge of using cognitive architectures to achieve Artificial General Intelligence.
Primary prevention: educational approaches to enhance social and emotional learning.
Elias, M J; Weissberg, R P
2000-05-01
The 1995 publication of Goleman's Emotional Intelligence triggered a revolution in mental health promotion. Goleman's examination of Gardner's work on multiple intelligences and current brain research, and review of successful programs that promoted emotional health, revealed a common objective among those working to prevent specific problem behaviors: producing knowledgeable, responsible, nonviolent, and caring individuals. Advances in research and field experiences confirm that school-based programs that promote social and emotional learning (SEL) in children can be powerful in accomplishing these goals. This article reviews the work of the Collaborative to Advance Social and Emotional Learning (CASEL), its guidelines for promoting mental health in children and youth based on SEL, key principles, and examples of exemplary programs.
NICA: Natural Interaction with a Caring Agent
NASA Astrophysics Data System (ADS)
de Carolis, Berardina; Mazzotta, Irene; Novielli, Nicole
Ambient Intelligence solutions may provide a great opportunity for elderly people to live longer at home. Assistance and care are delegated to the intelligence embedded in the environment. However, besides considering service-oriented response to the user needs, the assistance has to take into account the establishment of social relations. We propose the use of a robot NICA (as the name of the project Natural Interaction with a Caring Agent) acting as a caring assistant that provides a social interface with the smart home services. In this paper, we introduce the general architecture of the robot's "mind" and then we focus on the need to properly react to affective and socially oriented situations.
ERIC Educational Resources Information Center
Miguel, Isabel; Valentim, Joaquim Pires; Carugati, Felice
2013-01-01
Within the theoretical framework of social representations theory, a substantial body of literature has advocated and shown that, as interpretative systems and forms of knowledge concurring in the construction of a social reality, social representations are guides for action, influencing behaviours and social relations. Based on this assumption,…
ERIC Educational Resources Information Center
Portnow, Sam; Downer, Jason; Brown, Josh
2015-01-01
Participation in Social Emotional Learning (SEL) programs reduces aggressive and antisocial behavior (Durlak, Weissberg, Dymnicki, Taylor, & Schellinger, 2011). Theoretically, SEL programs foster social and emotionally intelligent youth through improving children's social and emotional skills, defined in the present study as the ability to…
Evaluating Social Causality and Responsibility Models: An Initial Report
2005-01-01
ICT Technical Report ICT-TR-03-2005 Evaluating Social Causality and Responsibility ... social intelligent agents. In this report, we present a general computational model of social causality and responsibility , and empirical results of...2005 to 00-00-2005 4. TITLE AND SUBTITLE Evaluating Social Causality and Responsibility Models: An Initial Report 5a. CONTRACT NUMBER 5b. GRANT
Gender and gender role differences in self- and other-estimates of multiple intelligences.
Szymanowicz, Agata; Furnham, Adrian
2013-01-01
This study examined participant gender and gender role differences in estimates of multiple intelligences for self, partner, and various hypothetical, stereotypical, and counter-stereotypical target persons. A general population sample of 261 British participants completed one of four questionnaires that required them to estimate their own and others' multiple intelligences and personality traits. Males estimated their general IQ slightly, but mathematic IQ significantly higher than females, who rated their social and emotional intelligence higher than males. Masculine individuals awarded themselves somewhat higher verbal and practical IQ scores than did female participants. Both participant gender and gender role differences in IQ estimates were found, with gender effects stronger in cognitive and gender role than in "personal" ability estimates. There was a significant effect of gender role on hypothetical persons' intelligence evaluations, with masculine targets receiving significantly higher intelligence estimates compared to feminine targets. More intelligent hypothetical figures were judged as more masculine and less feminine than less intelligent ones.
Gender and Gender Role Differences in Self- and Other-Estimates of Multiple Intelligences
Szymanowicz, Agata
2013-01-01
This study examined participant gender and gender role differences in estimates of multiple intelligences for self, partner, and various hypothetical, stereotypical, and counter-stereotypical target persons. A general population sample of 261 British participants completed one of four questionnaires that required them to estimate their own and others’ multiple intelligences and personality traits. Males estimated their general IQ slightly, but mathematic IQ significantly higher than females, who rated their social and emotional intelligence higher than males. Masculine individuals awarded themselves somewhat higher verbal and practical IQ scores than did female participants. Both participant gender and gender role differences in IQ estimates were found, with gender effects stronger in cognitive and gender role than in “personal” ability estimates. There was a significant effect of gender role on hypothetical persons’ intelligence evaluations, with masculine targets receiving significantly higher intelligence estimates compared to feminine targets. More intelligent hypothetical figures were judged as more masculine and less feminine than less intelligent ones. PMID:23951949
ERIC Educational Resources Information Center
Anand, Supraja; Stepp, Cara E.
2015-01-01
Purpose: Given the potential significance of speech naturalness to functional and social rehabilitation outcomes, the objective of this study was to examine the effect of listener perceptions of monopitch on speech naturalness and intelligibility in individuals with Parkinson's disease (PD). Method: Two short utterances were extracted from…
Emotional Intelligence Abilities and Traits in Different Career Paths
ERIC Educational Resources Information Center
Kafetsios, Konstantinos; Maridaki-Kassotaki, Aikaterini; Zammuner, Vanda L.; Zampetakis, Leonidas A.; Vouzas, Fotios
2009-01-01
Two studies tested hypotheses about differences in emotional intelligence (EI) abilities and traits between followers of different career paths. Compared to their social science peers, science students had higher scores in adaptability and general mood traits measured with the Emotion Quotient Inventory, but lower scores in strategic EI abilities…
ERIC Educational Resources Information Center
Baleghizadeh, Sasan; Shayeghi, Rose
2014-01-01
The purpose of the present study is to investigate the relationships between preferences of Multiple Intelligences and perceptual/social learning styles. Two self-report questionnaires were administered to a total of 207 male and female participants. Pearson correlation results revealed statistically significant positive relations between…
Educational Stimulation, Creativity, Intelligence and School Readiness in Young Children.
ERIC Educational Resources Information Center
Aliotti, Nicholas C.
The effects of educational stimulation on creative thinking ability and the relationships among verbal and figural creativity, intelligence, and school readiness were investigated in a sample of 123 first grade children. The educational stimulation consisted of special advanced instruction in physical education, music, art, social studies, and…
Research Matters: Students' Views of "Intelligence", Teachers' Praise, and Achievement
ERIC Educational Resources Information Center
VanDeWeghe, Rick, Ed.
2003-01-01
According to Columbia University social psychologist Carol Dweck, teachers may find some answers to students' ways of thinking if they consider students' views of "intelligence." In "Messages That Motivate: How Praise Molds Students' Beliefs, Motivation, and Performance (in Surprising Ways)," Dweck maintains that academic motivation and…
Associations of Early Developmental Milestones with Adult Intelligence
ERIC Educational Resources Information Center
Flensborg-Madsen, Trine; Mortensen, Erik L.
2018-01-01
The study investigated whether age at attainment of 20 developmental milestones within the areas of language, walking, eating, dressing, social interaction, and toilet training was associated with adult intelligence. Mothers of 821 children of the Copenhagen Perinatal Cohort recorded 20 developmental milestones at a 3-year examination, and all…
Emotional Intelligence and Medical Professionalism
ERIC Educational Resources Information Center
Zayapragassarazan, Z.; Kumar, Santosh
2011-01-01
Studies have shown that IQ alone does not contribute to the professional success of medical professionals. Professionals who are trained to be clinically competent, but have inadequate social skills for practice have proved to be less successful in their profession. Emotional intelligence (EI), which has already proved to be a key attribute for…
Need for Emotional Intelligence to Develop Principals' Social Skills
ERIC Educational Resources Information Center
Singh, Prakash; Dali, Christopher Malizo
2013-01-01
Principals are constantly challenged in their schools to serve as emotional anchors, provide professional guidance and be responsible for the effectiveness and improvement of their schools. This study therefore explored the need for emotional intelligence (EI) to be an integral part of the work-integrated learning competencies (WILCs) for…
ERIC Educational Resources Information Center
Di Fabio, Annamaria; Palazzeschi, Letizia; Asulin-Peretz, Lisa; Gati, Itamar
2013-01-01
The goal of the present study was to investigate the distinctions between career indecision and indecisiveness. The different patterns of the associations between career indecision and indecisiveness, on one hand, and personality traits, career decision-making self-efficacy, perceived social support, and emotional intelligence, on the other, were…
Validity of Random Short Forms: III. Wechsler's Intelligence Scales.
ERIC Educational Resources Information Center
Silverstein, A. B.
1983-01-01
Formulas for estimating the validity of random short forms were applied to the standardization data for the Wechsler Adult Intelligence Scale-Revised, the Minnesota Multiphasic Personality Inventory, and the Marlowe-Crowne Social Desirability Scale. These formulas demonstrated how much "better than random" the best short forms of these…
Neo-Lysenkoism, IQ, and the Press.
ERIC Educational Resources Information Center
Davis, Bernard D.
1983-01-01
In "The Mismeasure of Man," a history of efforts to measure intelligence, Stephen Jay Gould is highly selective in his account, and tests for scientific truth by the standards of his own social and political convictions. Specifically, to combat racist approaches to theories of intelligence, Gould presses for equal and opposite bias.…
A Twin-Family Study of General IQ
ERIC Educational Resources Information Center
van Leeuwen, Marieke; van den Berg, Stephanie M.; Boomsma, Dorret I.
2008-01-01
In this paper we assess the presence of assortative mating, gene-environment interaction and the heritability of intelligence in childhood using a twin family design with twins, their siblings and parents from 112 families. We evaluate two competing hypotheses about the cause of assortative mating in intelligence: social homogamy and phenotypic…
ERIC Educational Resources Information Center
Zheng, Zhi; Warren, Zachary; Weitlauf, Amy; Fu, Qiang; Zhao, Huan; Swanson, Amy; Sarkar, Nilanjan
2016-01-01
Researchers are increasingly attempting to develop and apply innovative technological platforms for early detection and intervention of autism spectrum disorder (ASD). This pilot study designed and evaluated a novel technologically-mediated intelligent learning environment with relevance to early social orienting skills. The environment was…
NASA Technical Reports Server (NTRS)
Norton, Jeffrey E.; Wiederholt, Bradley J.; Johnson, William B.
1990-01-01
Microcomputer Intelligence for Technical Training (MITT) uses Intelligent Tutoring System (OTS) technology to deliver diagnostic training in a variety of complex technical domains. Over the past six years, MITT technology has been used to develop training systems for nuclear power plant diesel generator diagnosis, Space Shuttle fuel cell diagnosis, and message processing diagnosis for the Minuteman missile. Presented here is an overview of the MITT system, describing the evolution of the MITT software and the benefits of using the MITT system.
2010-01-01
Discussion..................................... 14 5 Dinner Lecture: What Can Jazz Contribute to Intelligence Analysis...trade-offs. The implications of low integrative complexity include a limited information search, rigid following of established plans, black -white...also scientists can be of help. DRDC Toronto CR 2010-012 17 5 Dinner Lecture: What Can Jazz Contribute to Intelligence Analysis
A Cyber Situational Awareness Model for Network Administrators
2017-03-01
environments, the Internet of Things, artificial intelligence , and so on. As users’ data requirements grow more complex, they demand information...security of systems of interest. Further, artificial intelligence is a powerful concept in information technology. Therefore, new research should...look into how to use artificial intelligence to develop CSA. Human interaction with cyber systems is not making networks and their components safer
Metagram Software - A New Perspective on the Art of Computation.
1981-10-01
numober) Computer Programming Information and Analysis Metagramming Philosophy Intelligence Information Systefs Abstraction & Metasystems Metagranmming...control would also serve well in the analysis of military and political intelligence, and in other areas where highly abstract methods of thought serve...needed in intelligence because several levels of abstraction are involved in a political or military system, because analysis entails a complex interplay
Theoretical Foundations of Software Technology.
1983-02-14
major research interests are software testing, aritificial intelligence , pattern recogu- tion, and computer graphics. Dr. Chandranekaran is currently...produce PASCAL language code for the problems. Because of its relationship to many issues in Artificial Intelligence , we also investigated problems of...analysis to concurmt-prmcess software re- are not " intelligent " enough to discover these by themselves, ouirl more complex control flow models. The PAF
Discrete particle swarm optimization for identifying community structures in signed social networks.
Cai, Qing; Gong, Maoguo; Shen, Bo; Ma, Lijia; Jiao, Licheng
2014-10-01
Modern science of networks has facilitated us with enormous convenience to the understanding of complex systems. Community structure is believed to be one of the notable features of complex networks representing real complicated systems. Very often, uncovering community structures in networks can be regarded as an optimization problem, thus, many evolutionary algorithms based approaches have been put forward. Particle swarm optimization (PSO) is an artificial intelligent algorithm originated from social behavior such as birds flocking and fish schooling. PSO has been proved to be an effective optimization technique. However, PSO was originally designed for continuous optimization which confounds its applications to discrete contexts. In this paper, a novel discrete PSO algorithm is suggested for identifying community structures in signed networks. In the suggested method, particles' status has been redesigned in discrete form so as to make PSO proper for discrete scenarios, and particles' updating rules have been reformulated by making use of the topology of the signed network. Extensive experiments compared with three state-of-the-art approaches on both synthetic and real-world signed networks demonstrate that the proposed method is effective and promising. Copyright © 2014 Elsevier Ltd. All rights reserved.
Sternberg, Robert J
2012-03-01
Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex-and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret.
Sternberg, Robert J.
2012-01-01
Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain—especially with regard to the functioning in the prefrontal cortex—and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret. PMID:22577301
Evidence for a collective intelligence factor in the performance of human groups.
Woolley, Anita Williams; Chabris, Christopher F; Pentland, Alex; Hashmi, Nada; Malone, Thomas W
2010-10-29
Psychologists have repeatedly shown that a single statistical factor--often called "general intelligence"--emerges from the correlations among people's performance on a wide variety of cognitive tasks. But no one has systematically examined whether a similar kind of "collective intelligence" exists for groups of people. In two studies with 699 people, working in groups of two to five, we find converging evidence of a general collective intelligence factor that explains a group's performance on a wide variety of tasks. This "c factor" is not strongly correlated with the average or maximum individual intelligence of group members but is correlated with the average social sensitivity of group members, the equality in distribution of conversational turn-taking, and the proportion of females in the group.
Social Perception and Judgment. Annotated Bibliography of Tests.
ERIC Educational Resources Information Center
Educational Testing Service, Princeton, NJ. Test Collection.
The 75 tests in this bibliography include those designed to measure one's sensitivity and ability to deal with social interactions. These tests measure social perception, social intelligence, and sensitivity to nonverbal communications, etc. for a variety of age levels and groups. This document is one in a series of topical bibliographies from the…
Teaching Social Media Analytics: An Assessment Based on Natural Disaster Postings
ERIC Educational Resources Information Center
Goh, Tiong T.; Sun, Pei-Chen
2015-01-01
Unstructured data in social media is as part of the "big data" spectrum. Unstructured data in Social media can provide useful insights into social phenomena and citizen opinions, both of which are critical to government policy and businesses decisions. Teachers of business intelligence and analytics commonly use quantitative data from…
Franco, Maria da Glória; Beja, Maria J.; Candeias, Adelinda; Santos, Natalie
2017-01-01
This study analyzes the relationship between emotion understanding and school achievement in children of primary school, considering age, gender, fluid intelligence, mother’s educational level and social competence. In this study participated 406 children of primary school. The instruments used were the Test of Emotion Comprehension, Colored Progressive Matrices of Raven, Socially Action and Interpersonal Problem Solving Scale. The structural equation model showed the relationship between the emotion understanding and school performance depends on a mediator variable that in the context of the study was designated social competence. Age appear as an explanatory factor of the differences found, the mother’s educational level only predicts significantly social emotional competence, fluid intelligence is a predictor of emotion understanding, school achievement and social emotional competence. Regarding the influence of sex, emotional understanding does not emerge as a significant predictor of social emotional competence in girls or boys. Multiple relationships between the various factors associated with school achievement and social emotional competence are discussed as well as their implications in promoting child development and school success. PMID:28861014
Coevolution of cultural intelligence, extended life history, sociality, and brain size in primates
Street, Sally E.; Navarrete, Ana F.; Laland, Kevin N.
2017-01-01
Explanations for primate brain expansion and the evolution of human cognition and culture remain contentious despite extensive research. While multiple comparative analyses have investigated variation in brain size across primate species, very few have addressed why primates vary in how much they use social learning. Here, we evaluate the hypothesis that the enhanced reliance on socially transmitted behavior observed in some primates has coevolved with enlarged brains, complex sociality, and extended lifespans. Using recently developed phylogenetic comparative methods we show that, across primate species, a measure of social learning proclivity increases with absolute and relative brain volume, longevity (specifically reproductive lifespan), and social group size, correcting for research effort. We also confirm relationships of absolute and relative brain volume with longevity (both juvenile period and reproductive lifespan) and social group size, although longevity is generally the stronger predictor. Relationships between social learning, brain volume, and longevity remain when controlling for maternal investment and are therefore not simply explained as a by-product of the generally slower life history expected for larger brained species. Our findings suggest that both brain expansion and high reliance on culturally transmitted behavior coevolved with sociality and extended lifespan in primates. This coevolution is consistent with the hypothesis that the evolution of large brains, sociality, and long lifespans has promoted reliance on culture, with reliance on culture in turn driving further increases in brain volume, cognitive abilities, and lifespans in some primate lineages. PMID:28739950
Intelligibility in microbial complex systems: Wittgenstein and the score of life.
Baquero, Fernando; Moya, Andrés
2012-01-01
Knowledge in microbiology is reaching an extreme level of diversification and complexity, which paradoxically results in a strong reduction in the intelligibility of microbial life. In our days, the "score of life" metaphor is more accurate to express the complexity of living systems than the classic "book of life." Music and life can be represented at lower hierarchical levels by music scores and genomic sequences, and such representations have a generational influence in the reproduction of music and life. If music can be considered as a representation of life, such representation remains as unthinkable as life itself. The analysis of scores and genomic sequences might provide mechanistic, phylogenetic, and evolutionary insights into music and life, but not about their real dynamics and nature, which is still maintained unthinkable, as was proposed by Wittgenstein. As complex systems, life or music is composed by thinkable and only showable parts, and a strategy of half-thinking, half-seeing is needed to expand knowledge. Complex models for complex systems, based on experiences on trans-hierarchical integrations, should be developed in order to provide a mixture of legibility and imageability of biological processes, which should lead to higher levels of intelligibility of microbial life.
Intelligibility in microbial complex systems: Wittgenstein and the score of life
Baquero, Fernando; Moya, Andrés
2012-01-01
Knowledge in microbiology is reaching an extreme level of diversification and complexity, which paradoxically results in a strong reduction in the intelligibility of microbial life. In our days, the “score of life” metaphor is more accurate to express the complexity of living systems than the classic “book of life.” Music and life can be represented at lower hierarchical levels by music scores and genomic sequences, and such representations have a generational influence in the reproduction of music and life. If music can be considered as a representation of life, such representation remains as unthinkable as life itself. The analysis of scores and genomic sequences might provide mechanistic, phylogenetic, and evolutionary insights into music and life, but not about their real dynamics and nature, which is still maintained unthinkable, as was proposed by Wittgenstein. As complex systems, life or music is composed by thinkable and only showable parts, and a strategy of half-thinking, half-seeing is needed to expand knowledge. Complex models for complex systems, based on experiences on trans-hierarchical integrations, should be developed in order to provide a mixture of legibility and imageability of biological processes, which should lead to higher levels of intelligibility of microbial life. PMID:22919679
Silventoinen, Karri; Modig-Wennerstad, Karin; Tynelius, Per; Rasmussen, Finn
2007-08-01
Socio-economic position and intelligence predict coronary heart disease but their mutual associations are not yet well understood. We investigated associations between intelligence and coronary heart disease mortality and explored if they are confounded or modified by socio-economic position. This was a cohort-based follow-up study. Data on intelligence, systolic and diastolic blood pressures and body mass index were measured at conscription examination at age 18 years in 682 361 Swedish men born 1951-1965. Data on parental and own education and social position were derived from censuses in 1960, 1970, 1980 and 1990. Follow-up data up to end of 2001 were derived from the Swedish Cause of Death Register and 737 coronary heart disease deaths were observed. Data were analyzed by Cox regression and conditional logistic regression models. An inverse association was found between intelligence and coronary heart disease mortality after adjustment for parental and own education and social position, body mass index and blood pressure (hazard ratio 0.92; 95% confidence interval 0.88-0.96). These associations were of similar strengths within all socio-economic categories and also found within 215 brother pairs discordant for coronary heart disease mortality and intelligence (odds ratio 0.76; 95% confidence interval 0.58-1.00). Intelligence is associated with coronary heart disease mortality independently of socio-economic position. Health education messages should be tailored according to intellectual performance of the recipients, but also other factors are important for socio-economic coronary heart disease inequalities.
McNeill, Ann; Iringe-Koko, Belinda; Bains, Manpreet; Bauld, Linda; Siggens, Geoffrey; Russell, Andrew
2014-05-01
Illicit tobacco (IT) undermines the effectiveness of tobacco control strategies. We assessed the implementation and impact of a new programme designed to reduce demand for, as well as supply of, IT, in the north of England, where IT was prevalent. 'Mixed methods' research was undertaken. Qualitative methods included stakeholder interviews (at outset and 1 year later) and ethnographic research. Indicators reflecting those supply and demand issues for which data were available were identified and monitored, including relevant items on two cross-sectional surveys carried out in 2009 and 2011 with over 4000 individuals from which a social marketing campaign was also developed. IT reports to two existing hotlines, promoted through the programme, were assessed. Initially, concerns abounded about the different philosophies and ways of working of local and national enforcement and health agencies, but these were much reduced at follow-up. A protocol was developed which greatly facilitated the flow of intelligence about IT supply. A social marketing campaign was developed highlighting two messages: IT makes it easier for children to start smoking and brings crime into the community, thereby avoiding misleading messages about relative harms of illicit and licit tobacco. Public and stakeholder awareness of IT increased as did calls to both hotlines. A partnership of agencies, with competing values, was established to tackle IT, a complex public health issue and, inter alia, implemented a social marketing campaign using novel messages. This improved the flow of intelligence about the supply of IT and increased awareness of IT. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
McNeill, Ann; Iringe-Koko, Belinda; Bains, Manpreet; Bauld, Linda; Siggens, Geoffrey; Russell, Andrew
2014-01-01
Background Illicit tobacco (IT) undermines the effectiveness of tobacco control strategies. We assessed the implementation and impact of a new programme designed to reduce demand for, as well as supply of, IT, in the north of England, where IT was prevalent. Methods ‘Mixed methods’ research was undertaken. Qualitative methods included stakeholder interviews (at outset and 1 year later) and ethnographic research. Indicators reflecting those supply and demand issues for which data were available were identified and monitored, including relevant items on two cross-sectional surveys carried out in 2009 and 2011 with over 4000 individuals from which a social marketing campaign was also developed. IT reports to two existing hotlines, promoted through the programme, were assessed. Results Initially, concerns abounded about the different philosophies and ways of working of local and national enforcement and health agencies, but these were much reduced at follow-up. A protocol was developed which greatly facilitated the flow of intelligence about IT supply. A social marketing campaign was developed highlighting two messages: IT makes it easier for children to start smoking and brings crime into the community, thereby avoiding misleading messages about relative harms of illicit and licit tobacco. Public and stakeholder awareness of IT increased as did calls to both hotlines. Conclusions A partnership of agencies, with competing values, was established to tackle IT, a complex public health issue and, inter alia, implemented a social marketing campaign using novel messages. This improved the flow of intelligence about the supply of IT and increased awareness of IT. PMID:23958644
National intelligence estimates and the Failed State Index.
Voracek, Martin
2013-10-01
Across 177 countries around the world, the Failed State Index, a measure of state vulnerability, was reliably negatively associated with the estimates of national intelligence. Psychometric analysis of the Failed State Index, compounded of 12 social, economic, and political indicators, suggested factorial unidimensionality of this index. The observed correspondence of higher national intelligence figures to lower state vulnerability might arise through these two macro-level variables possibly being proxies of even more pervasive historical and societal background variables that affect both.
Virk, Pks; Jain, R L; Pathak, A; Sharma, U; Rajput, J S
2012-01-01
India has been the focus of many health surveys among normal, physically, and mentally handicapped children. However, the data, concerning oral health conditions of socially handicapped children living in orphanages, are scanty. To study the effect of parental inadequacy, environmental deprivation, and emotional disturbances on dental caries through intelligence quotient (IQ) and self-concept in orphan children and also to co-relate dental caries with different levels of IQ and self-concept. The study was carried out amongst socially handicapped children living in orphanages. 100 children in the age group of 10-14 years from orphanages were selected. Malin's Intelligence Scale for Indian Children (MISIC) was used to assess the intelligence quotient; self-concept questionnaire to assess self-concept of the child and recording of dental caries status of children was done as per WHO Index (1997). To assess the relationship of dental caries with IQ, student's unpaired t-test was used and; to find the relationship between self-concept and dental caries, Karl-Pearson's coefficient of co-relation was applied. the children in orphanages had a lower IQ and high caries experience but had an above average self-concept. There was also no co-relation between dental caries and self-concept. Orphan children, being socially handicapped, are at an increased risk for dental caries due to a lower IQ level, parental deprivation, and institutionalization. Moreover, lack of co-relation between dental caries and self-concept could be explained by the fact that dental caries is a lifelong process whereas different dimensions of self-concept are in a state of constant flux.
NASA Technical Reports Server (NTRS)
Chu, Rose W.; Mitchell, Christine M.
1993-01-01
In supervisory control systems such as satellite ground control, there is a need for human-centered automation where the focus is to understand and enhance the human-system interaction experience in the complex task environment. Operator support in the form of off-line intelligent tutoring and on-line intelligent aiding is one approach towards this effort. The tutor/aid paradigm is proposed here as a design approach that integrates the two aspects of operator support in one system for technically oriented adults in complex domains. This paper also presents GT-VITA, a proof-of-concept graphical, interactive, intelligent tutoring system that is a first attempt to illustrate the tutoring aspect of the tutor/aid paradigm in the domain of satellite ground control. Evaluation on GT-VITA is conducted with NASA personnel with very positive results. GT-VITA is presented being fielded as it is at Goddard Space Flight Center.
Absolute order-of-magnitude reasoning applied to a social multi-criteria evaluation framework
NASA Astrophysics Data System (ADS)
Afsordegan, A.; Sánchez, M.; Agell, N.; Aguado, J. C.; Gamboa, G.
2016-03-01
A social multi-criteria evaluation framework for solving a real-case problem of selecting a wind farm location in the regions of Urgell and Conca de Barberá in Catalonia (northeast of Spain) is studied. This paper applies a qualitative multi-criteria decision analysis approach based on linguistic labels assessment able to address uncertainty and deal with different levels of precision. This method is based on qualitative reasoning as an artificial intelligence technique for assessing and ranking multi-attribute alternatives with linguistic labels in order to handle uncertainty. This method is suitable for problems in the social framework such as energy planning which require the construction of a dialogue process among many social actors with high level of complexity and uncertainty. The method is compared with an existing approach, which has been applied previously in the wind farm location problem. This approach, consisting of an outranking method, is based on Condorcet's original method. The results obtained by both approaches are analysed and their performance in the selection of the wind farm location is compared in aggregation procedures. Although results show that both methods conduct to similar alternatives rankings, the study highlights both their advantages and drawbacks.
SpaceX CRS-10 "What's On Board" Science Briefing
2017-02-17
Jolyn Russell, deputy Robotics program manager at NASA’s Goddard Space Flight Center’s Satellite Servicing Projects Division in Maryland, speaks to members of social media in the Kennedy Space Center’s Press Site auditorium. The briefing focused on “Raven” research planned for the International Space Station. The Raven investigation studies a real-time robotic spacecraft navigation system that provides the eyes and intelligence to see a target and steer safely toward it. Raven will be part of experiments aboard a Dragon spacecraft scheduled for launch from Kennedy’s Launch Complex 39A on Feb. 18 atop a SpaceX Falcon 9 rocket on the company's 10th Commercial Resupply Services mission to the space station.
ERIC Educational Resources Information Center
Deary, Ian J.; Taylor, Michelle D.; Hart, Carole L.; Wilson, Valerie; Smith, George Davey; Blane, David; Starr, John M.
2005-01-01
We examined the influences of childhood social background, childhood cognitive ability, and education on intergenerational social mobility and social status attainment at midlife. The subjects were men born in 1921 and who participated in the Scottish Mental Survey of 1932 and thereafter in the Midspan Collaborative study in Scotland between 1970…
Network-based modeling and intelligent data mining of social media for improving care.
Akay, Altug; Dragomir, Andrei; Erlandsson, Bjorn-Erik
2015-01-01
Intelligently extracting knowledge from social media has recently attracted great interest from the Biomedical and Health Informatics community to simultaneously improve healthcare outcomes and reduce costs using consumer-generated opinion. We propose a two-step analysis framework that focuses on positive and negative sentiment, as well as the side effects of treatment, in users' forum posts, and identifies user communities (modules) and influential users for the purpose of ascertaining user opinion of cancer treatment. We used a self-organizing map to analyze word frequency data derived from users' forum posts. We then introduced a novel network-based approach for modeling users' forum interactions and employed a network partitioning method based on optimizing a stability quality measure. This allowed us to determine consumer opinion and identify influential users within the retrieved modules using information derived from both word-frequency data and network-based properties. Our approach can expand research into intelligently mining social media data for consumer opinion of various treatments to provide rapid, up-to-date information for the pharmaceutical industry, hospitals, and medical staff, on the effectiveness (or ineffectiveness) of future treatments.
Did farming arise from a misapplication of social intelligence?
Mithen, Steven
2007-04-29
The origins of farming is the defining event of human history--the one turning point that has resulted in modern humans having a quite different type of lifestyle and cognition to all other animals and past types of humans. With the economic basis provided by farming, human individuals and societies have developed types of material culture that greatly augment powers of memory and computation, extending the human mental capacity far beyond that which the brain alone can provide. Archaeologists have long debated and discussed why people began living in settled communities and became dependent on cultivated plants and animals, which soon evolved into domesticated forms. One of the most intriguing explanations was proposed more than 20 years ago not by an archaeologist but by a psychologist: Nicholas Humphrey suggested that farming arose from the 'misapplication of social intelligence'. I explore this idea in relation to recent discoveries and archaeological interpretations in the Near East, arguing that social intelligence has indeed played a key role in the origin of farming and hence the emergence of the modern world.
On-road anomaly detection by multimodal sensor analysis and multimedia processing
NASA Astrophysics Data System (ADS)
Orhan, Fatih; Eren, P. E.
2014-03-01
The use of smartphones in Intelligent Transportation Systems is gaining popularity, yet many challenges exist in developing functional applications. Due to the dynamic nature of transportation, vehicular social applications face complexities such as developing robust sensor management, performing signal and image processing tasks, and sharing information among users. This study utilizes a multimodal sensor analysis framework which enables the analysis of sensors in multimodal aspect. It also provides plugin-based analyzing interfaces to develop sensor and image processing based applications, and connects its users via a centralized application as well as to social networks to facilitate communication and socialization. With the usage of this framework, an on-road anomaly detector is being developed and tested. The detector utilizes the sensors of a mobile device and is able to identify anomalies such as hard brake, pothole crossing, and speed bump crossing. Upon such detection, the video portion containing the anomaly is automatically extracted in order to enable further image processing analysis. The detection results are shared on a central portal application for online traffic condition monitoring.
Pluralism - With Intelligence: A Challenge to Education and Society.
ERIC Educational Resources Information Center
Brown, Arthur
2000-01-01
Provides a critique of certain social and institutional tendencies inimical to the development of social democracy and democratic community, especially conformity generated by bureaucratized social institutions, religious absolutism, and intolerance. Discusses the primary values of freedom and equality as critical to the development of democratic…
Complexity, Heuristic, and Search Analysis for the Games of Crossings and Epaminondas
2014-03-27
research in Artifical Intelligence (Section 2.1) and why games are studied (Section 2.2). Section 2.3 discusses how games are played and solved. An...5 2.1 Games in Artificial Intelligence . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2 Game Study...Artificial Intelligence UCT Upper Confidence Bounds applied to Trees HUCT Heuristic Guided UCT LOA Lines of Action UCB Upper Confidence Bound RAVE Rapid
ERIC Educational Resources Information Center
Di Fabio, Annamaria; Kenny, Maureen E.
2015-01-01
Drawing from career construction and positive youth development perspectives, this study explores, among 254 Italian high school students, the relationship between emotional intelligence (EI) and support from friends and teachers with indices of adaptive career development. Results from the full canonical correlational model revealed that…
ERIC Educational Resources Information Center
Sullivan, Amie K.; Strang, Harold R.
2003-01-01
Notes that many children in today's classrooms exhibit a variety of emotional and social difficulties, and discusses the use of bibliotherapy, an approach that uses literature as an effective way to remediate such difficulties. Explains emotional intelligence and how bibliotherapy can promote development of the socioemotional competence necessary…
The Intelligibility of Social Dialects for Working-Class Adult Learners of English.
ERIC Educational Resources Information Center
Eisenstein, Miriam; Verdi, Gail
1985-01-01
Describes a study of the intelligibility of three dialects--standard English, New Yorkese, and Black English--for working-class adult English learners. Results showed that comprehension was significantly affected by dialect and that learner judgments of the speakers in terms of job status, friendliness, and appearance paralleled the…
"Emotional Intelligence" in the Classroom? An Aristotelian Critique
ERIC Educational Resources Information Center
Kristjansson, Kristjan
2006-01-01
A recent trend in moral education, social and emotional learning, incorporates the mantra of emotional intelligence (EI) as a key element in an extensive program of character building. In making his famous claim that the good life would have to include appropriate emotions, Aristotle obviously considered the schooling of emotions to be an…
Human Intelligence. Transaction Book Series, Studies in Social Policy.
ERIC Educational Resources Information Center
Hunt, J. McVicker, Ed.
Contents of this book include the following articles: "Genetics and competance: Do heritability indices predict educability?" Jerry Hirsch; "The role of experience in the development of competence," J. McVicker Hunt; "Intelligence-- why it grows, why it declines," John L. Horn; "The demographic context of metropolitan education," Karl E. Taeuber;…
ERIC Educational Resources Information Center
Dwyer, Brian M.
2002-01-01
Discusses a new training model that takes into account the diversity of learners and the emotional, physical and social environmental conditions essential for lifelong learning. Considers how the brain learns and functions, brain-based learning, multiple intelligence, and emotional intelligence as well as personal reflection. (LRW)
The Role of Affective Assessment in Intelligence Testing
ERIC Educational Resources Information Center
Rumsey, Judith M.; Rychlak, Joseph F.
1978-01-01
As predicted, subjects scored higher on subtests of the Wechsler Intelligence Scale for Children which they had rated positively than on those which they had rated negatively. This positive reinforcement value effect supports the purposeful human image advanced by logical learning theory. No racial or social class differences were seen. (Author/CP)
Improving Learners' Oral Fuency through Computer-Mediated Emotional Intelligence Activities
ERIC Educational Resources Information Center
Abdolrezapour, Parisa
2017-01-01
Previous studies have shown that emotional intelligence (henceforth, EI) has a significant impact on important life outcomes (e.g., mental and physical health, academic achievement, work performance, and social relationships). This study aimed to see whether there is any relationship between EI and English as a foreign language (EFL) learners'…
Arguing Artificially: A Rhetorical Analysis of the Debates That Have Shaped Cognitive Science.
ERIC Educational Resources Information Center
Gibson, Keith
2003-01-01
Attempts a rhetorical analysis of the history of artificial intelligence research. Responds to scholarly needs in three areas: the rhetorical nature of science, the social construction of science knowledge, and the rhetorical strategies used in artificial intelligence (AI). Suggests that this work can help rhetoricians more accurately describe the…
Social Studies and Emerging Paradigms: Artificial Intelligence and Consciousness Education.
ERIC Educational Resources Information Center
Braun, Joseph A., Jr.
1987-01-01
Asks three questions: (1) Are machines capable of thinking as people do? (2) How is the thinking of computers similar and different from human thinking? and (3) What exactly is thinking? Examines research in artificial intelligence. Describes the theory and research of consciousness education and discusses an emerging paradigm for human thinking…
Network of Knowledge: Wikipedia as a Sociotechnical System of Intelligence
ERIC Educational Resources Information Center
Livingstone, Randall M.
2012-01-01
The purpose of this study was to explore the codependencies of the social and technical structures that yield Wikipedia the website and Wikipedia the community. In doing so, the research investigated the implications of such a sociotechnical system for the maintenance of the project and the emergence of collective intelligence. Using a theoretical…
The Structure of Cognition: Attentional Episodes in Mind and Brain
Duncan, John
2013-01-01
Cognition is organized in a structured series of attentional episodes, allowing complex problems to be addressed through solution of simpler subproblems. A “multiple-demand” (MD) system of frontal and parietal cortex is active in many different kinds of tasks, and using data from neuroimaging, electrophysiology, neuropsychology, and cognitive studies of intelligence, I propose a core role for MD regions in assembly of the attentional episode. Monkey and human data show dynamic neural coding of attended information across multiple MD regions, with rapid communication within and between regions. Neuropsychological and imaging data link MD function to fluid intelligence, explaining some but not all “executive” deficits after frontal lobe lesions. Cognitive studies link fluid intelligence to goal neglect, and the problem of dividing complex task requirements into focused parts. Like the innate releasing mechanism of ethology, I suggest that construction of the attentional episode provides a core organizational principle for complex, adaptive cognition. PMID:24094101
A hierarchical distributed control model for coordinating intelligent systems
NASA Technical Reports Server (NTRS)
Adler, Richard M.
1991-01-01
A hierarchical distributed control (HDC) model for coordinating cooperative problem-solving among intelligent systems is described. The model was implemented using SOCIAL, an innovative object-oriented tool for integrating heterogeneous, distributed software systems. SOCIAL embeds applications in 'wrapper' objects called Agents, which supply predefined capabilities for distributed communication, control, data specification, and translation. The HDC model is realized in SOCIAL as a 'Manager'Agent that coordinates interactions among application Agents. The HDC Manager: indexes the capabilities of application Agents; routes request messages to suitable server Agents; and stores results in a commonly accessible 'Bulletin-Board'. This centralized control model is illustrated in a fault diagnosis application for launch operations support of the Space Shuttle fleet at NASA, Kennedy Space Center.
The neural bases of key competencies of emotional intelligence.
Krueger, Frank; Barbey, Aron K; McCabe, Kevin; Strenziok, Maren; Zamboni, Giovanna; Solomon, Jeffrey; Raymont, Vanessa; Grafman, Jordan
2009-12-29
Emotional intelligence (EI) refers to a set of competencies that are essential features of human social life. Although the neural substrates of EI are virtually unknown, it is well established that the prefrontal cortex (PFC) plays a crucial role in human social-emotional behavior. We studied a unique sample of combat veterans from the Vietnam Head Injury Study, which is a prospective, long-term follow-up study of veterans with focal penetrating head injuries. We administered the Mayer-Salovey-Caruso Emotional Intelligence Test as a valid standardized psychometric measure of EI behavior to examine two key competencies of EI: (i) Strategic EI as the competency to understand emotional information and to apply it for the management of the self and of others and (ii) Experiential EI as the competency to perceive emotional information and to apply it for the integration into thinking. The results revealed that key competencies underlying EI depend on distinct neural PFC substrates. First, ventromedial PFC damage diminishes Strategic EI, and therefore, hinders the understanding and managing of emotional information. Second, dorsolateral PFC damage diminishes Experiential EI, and therefore, hinders the perception and integration of emotional information. In conclusion, EI should be viewed as complementary to cognitive intelligence and, when considered together, provide a more complete understanding of human intelligence.
The neural bases of key competencies of emotional intelligence
Krueger, Frank; Barbey, Aron K.; McCabe, Kevin; Strenziok, Maren; Zamboni, Giovanna; Solomon, Jeffrey; Raymont, Vanessa; Grafman, Jordan
2009-01-01
Emotional intelligence (EI) refers to a set of competencies that are essential features of human social life. Although the neural substrates of EI are virtually unknown, it is well established that the prefrontal cortex (PFC) plays a crucial role in human social-emotional behavior. We studied a unique sample of combat veterans from the Vietnam Head Injury Study, which is a prospective, long-term follow-up study of veterans with focal penetrating head injuries. We administered the Mayer-Salovey-Caruso Emotional Intelligence Test as a valid standardized psychometric measure of EI behavior to examine two key competencies of EI: (i) Strategic EI as the competency to understand emotional information and to apply it for the management of the self and of others and (ii) Experiential EI as the competency to perceive emotional information and to apply it for the integration into thinking. The results revealed that key competencies underlying EI depend on distinct neural PFC substrates. First, ventromedial PFC damage diminishes Strategic EI, and therefore, hinders the understanding and managing of emotional information. Second, dorsolateral PFC damage diminishes Experiential EI, and therefore, hinders the perception and integration of emotional information. In conclusion, EI should be viewed as complementary to cognitive intelligence and, when considered together, provide a more complete understanding of human intelligence. PMID:20080795
Compression in Working Memory and Its Relationship With Fluid Intelligence.
Chekaf, Mustapha; Gauvrit, Nicolas; Guida, Alessandro; Mathy, Fabien
2018-06-01
Working memory has been shown to be strongly related to fluid intelligence; however, our goal is to shed further light on the process of information compression in working memory as a determining factor of fluid intelligence. Our main hypothesis was that compression in working memory is an excellent indicator for studying the relationship between working-memory capacity and fluid intelligence because both depend on the optimization of storage capacity. Compressibility of memoranda was estimated using an algorithmic complexity metric. The results showed that compressibility can be used to predict working-memory performance and that fluid intelligence is well predicted by the ability to compress information. We conclude that the ability to compress information in working memory is the reason why both manipulation and retention of information are linked to intelligence. This result offers a new concept of intelligence based on the idea that compression and intelligence are equivalent problems. Copyright © 2018 Cognitive Science Society, Inc.
A Measure of Real-Time Intelligence
NASA Astrophysics Data System (ADS)
Gavane, Vaibhav
2013-03-01
We propose a new measure of intelligence for general reinforcement learning agents, based on the notion that an agent's environment can change at any step of execution of the agent. That is, an agent is considered to be interacting with its environment in real-time. In this sense, the resulting intelligence measure is more general than the universal intelligence measure (Legg and Hutter, 2007) and the anytime universal intelligence test (Hernández-Orallo and Dowe, 2010). A major advantage of the measure is that an agent's computational complexity is factored into the measure in a natural manner. We show that there exist agents with intelligence arbitrarily close to the theoretical maximum, and that the intelligence of agents depends on their parallel processing capability. We thus believe that the measure can provide a better evaluation of agents and guidance for building practical agents with high intelligence.
Do the Modern Neurosciences Call for a New Model of Organizational Cognition?
NASA Astrophysics Data System (ADS)
Seni, Dan Alexander
2012-10-01
Our purpose in this paper is to try to make a significant contribution to the analysis of cognitive capabilities of the organization of active social systems such as the business enterprise by re-examining the concepts of organizational intelligence, organizational memory and organizational learning in light of the findings of modern neuroscience. In fact, in this paper we propose that neuroscience shows that sociocognitivity is for real. In other words, cognition, in the broad sense, is not exclusive to living organisms: Certain kinds of social organizations (e.g. the enterprise) possess elementary cognitive capabilities by virtue of their structure and their functions. The classical theory of organizational cognition is the theory of Artificial Intelligence. We submit that this approach has proven to be false and barren, and that a materialist emergentist neuroscientific approach, in the tradition of Mario Bunge (2003, 2006), leads to a far more fruitful viewpoint, both for theory development and for eventual factual verification. Our proposals for sociocognitivity are based on findings in three areas of modern neuroscience and biopsychology: (1) The theory of intelligence and of intelligent systems; (2) The neurological theory of memory as distributed, hierarchical neuronal systems; (3) The theory of cognitive action in general and of learning in particular. We submit that findings in every one of these areas are applicable to the social organization.
Plucker, Jonathan A; Shelton, Amy L
2015-01-01
Current technology has dramatically increased the prevalence of studies to establish the genetic correlates of a wide variety of human characteristics, including not only the physical attributes that determine what we look like and the risk of physiological disease but also the psychological and cognitive characteristics that often define who we are as individuals. Perhaps one of the most deeply personal and often controversial characteristics is the concept of general intelligence, known in the psychological literature as "g." As with the genetic study of any complex trait, the first step in studying the genetics of g is to carefully define the characteristic of interest. For g, this entails establishing what intelligence means and providing a clear operational definition for how it will be measured. In this paper, we provide a brief historical and theoretical overview of the construct of general intelligence, describe its relationship to the contemporary measurement of intelligence, and discuss these concepts in light of the challenges associated with defining g as a characteristic in the study of genetics. © 2015 The Hastings Center.
Ontology for the Intelligence Analyst
2012-12-01
Intelligence and Information Warfare Directorate Shouvik Bardhan , High Performance Technologies, Incorporated Jamie Johnson, EOIR Technologies...to soldiers. E-mail: kesny.parent@us.army.mil Shouvik Bardhan has more than 25 years of experience in the field of complex software design and
Artificial Intelligence and the Teaching of Reading and Writing by Computers.
ERIC Educational Resources Information Center
Balajthy, Ernest
1985-01-01
Discusses how computers can "converse" with students for teaching purposes, demonstrates how these interactions are becoming more complex, and explains how the computer's role is becoming more "human" in giving intelligent responses to students. (HOD)
Understanding relationships between autism, intelligence, and epilepsy: a cross-disorder approach
VAN EEGHEN, AGNIES M; PULSIFER, MARGARET B; MERKER, VANESSA L; NEUMEYER, ANN M; VAN EEGHEN, ELMER E; THIBERT, RONALD L; COLE, ANDREW J; LEIGH, FAWN A; PLOTKIN, SCOTT R; THIELE, ELIZABETH A
2014-01-01
Aim As relationships between autistic traits, epilepsy, and cognitive functioning remain poorly understood, these associations were explored in the biologically related disorders tuberous sclerosis complex (TSC), neurofibromatosis type 1 (NF1), and epilepsy. Method The Social Responsiveness Scale (SRS), a quantitative measure of autistic traits, was distributed to caregivers or companions of patients with TSC, NF1, and childhood-onset epilepsy of unknown cause (EUC), and these results were compared with SRS data from individuals with idiopathic autism spectrum disorders (ASDs) and their unaffected siblings. Scores and trait profiles of autistic features were compared with cognitive outcomes, epilepsy variables, and genotype. Results A total of 180 SRS questionnaires were filled out in the TSC, NF1, and EUC outpatient clinics at the Massachusetts General Hospital (90 females, 90 males; mean age 21y, range 4–63y), and SRS data from 210 patients with ASD recruited from an autism research collaboration (167 males, 43 females; mean age 9y range 4–22y) and 130 unaffected siblings were available. Regression models showed a significant association between SRS scores and intelligence outcomes (p<0.001) and various seizure variables (p<0.02), but not with a specific underlying disorder or genotype. The level of autistic features was strongly associated with intelligence outcomes in patients with TSC and epilepsy (p<0.01); in patients with NF1 these relationships were weaker (p=0.25). For all study groups, autistic trait subdomains covaried with neurocognitive comorbidity, with endophenotypes similar to that of idiopathic autism. Interpretation Our data show that in TSC and childhood-onset epilepsy, the severity and phenotype of autistic features are inextricably linked with intelligence and epilepsy outcomes. Such relationships were weaker for individuals with NF1. Findings suggest that ASDs are not specific for these conditions. PMID:23205844
Kanazawa, Satoshi
2009-07-01
The origin of values and preferences is an unresolved theoretical question in behavioural and social sciences. The Savanna-IQ Interaction Hypothesis, derived from the Savanna Principle and a theory of the evolution of general intelligence, suggests that more intelligent individuals may be more likely to acquire and espouse evolutionarily novel values and preferences (such as liberalism and atheism and, for men, sexual exclusivity) than less intelligent individuals, but that general intelligence may have no effect on the acquisition and espousal of evolutionarily familiar values. Macro-level analyses show that nations with higher average intelligence are more liberal (have greater highest marginal individual tax rate and, as a result, lower income inequality), less religious (a smaller proportion of the population believes in God or considers themselves religious) and more monogamous. The average intelligence of a population appears to be the strongest predictor of its level of liberalism, atheism and monogamy.
Intelligence-Augmented Rat Cyborgs in Maze Solving.
Yu, Yipeng; Pan, Gang; Gong, Yongyue; Xu, Kedi; Zheng, Nenggan; Hua, Weidong; Zheng, Xiaoxiang; Wu, Zhaohui
2016-01-01
Cyborg intelligence is an emerging kind of intelligence paradigm. It aims to deeply integrate machine intelligence with biological intelligence by connecting machines and living beings via neural interfaces, enhancing strength by combining the biological cognition capability with the machine computational capability. Cyborg intelligence is considered to be a new way to augment living beings with machine intelligence. In this paper, we build rat cyborgs to demonstrate how they can expedite the maze escape task with integration of machine intelligence. We compare the performance of maze solving by computer, by individual rats, and by computer-aided rats (i.e. rat cyborgs). They were asked to find their way from a constant entrance to a constant exit in fourteen diverse mazes. Performance of maze solving was measured by steps, coverage rates, and time spent. The experimental results with six rats and their intelligence-augmented rat cyborgs show that rat cyborgs have the best performance in escaping from mazes. These results provide a proof-of-principle demonstration for cyborg intelligence. In addition, our novel cyborg intelligent system (rat cyborg) has great potential in various applications, such as search and rescue in complex terrains.
Intelligence-Augmented Rat Cyborgs in Maze Solving
Yu, Yipeng; Pan, Gang; Gong, Yongyue; Xu, Kedi; Zheng, Nenggan; Hua, Weidong; Zheng, Xiaoxiang; Wu, Zhaohui
2016-01-01
Cyborg intelligence is an emerging kind of intelligence paradigm. It aims to deeply integrate machine intelligence with biological intelligence by connecting machines and living beings via neural interfaces, enhancing strength by combining the biological cognition capability with the machine computational capability. Cyborg intelligence is considered to be a new way to augment living beings with machine intelligence. In this paper, we build rat cyborgs to demonstrate how they can expedite the maze escape task with integration of machine intelligence. We compare the performance of maze solving by computer, by individual rats, and by computer-aided rats (i.e. rat cyborgs). They were asked to find their way from a constant entrance to a constant exit in fourteen diverse mazes. Performance of maze solving was measured by steps, coverage rates, and time spent. The experimental results with six rats and their intelligence-augmented rat cyborgs show that rat cyborgs have the best performance in escaping from mazes. These results provide a proof-of-principle demonstration for cyborg intelligence. In addition, our novel cyborg intelligent system (rat cyborg) has great potential in various applications, such as search and rescue in complex terrains. PMID:26859299
Lau, Adela S M
2011-11-11
Web 2.0 provides a platform or a set of tools such as blogs, wikis, really simple syndication (RSS), podcasts, tags, social bookmarks, and social networking software for knowledge sharing, learning, social interaction, and the production of collective intelligence in a virtual environment. Web 2.0 is also becoming increasingly popular in e-learning and e-social communities. The objectives were to investigate how Web 2.0 tools can be applied for knowledge sharing, learning, social interaction, and the production of collective intelligence in the nursing domain and to investigate what behavioral perceptions are involved in the adoption of Web 2.0 tools by nurses. The decomposed technology acceptance model was applied to construct the research model on which the hypotheses were based. A questionnaire was developed based on the model and data from nurses (n = 388) were collected from late January 2009 until April 30, 2009. Pearson's correlation analysis and t tests were used for data analysis. Intention toward using Web 2.0 tools was positively correlated with usage behavior (r = .60, P < .05). Behavioral intention was positively correlated with attitude (r = .72, P < .05), perceived behavioral control (r = .58, P < .05), and subjective norm (r = .45, P < .05). In their decomposed constructs, perceived usefulness (r = .7, P < .05), relative advantage (r = .64, P < .05), and compatibility (r = .60,P < .05) were positively correlated with attitude, but perceived ease of use was not significantly correlated (r = .004, P < .05) with it. Peer (r = .47, P < .05), senior management (r = .24,P < .05), and hospital (r = .45, P < .05) influences had positive correlations with subjective norm. Resource (r = .41,P < .05) and technological (r = .69,P < .05) conditions were positively correlated with perceived behavioral control. The identified behavioral perceptions may further health policy makers' understanding of nurses' concerns regarding and barriers to the adoption of Web 2.0 tools and enable them to better plan the strategy of implementation of Web 2.0 tools for knowledge sharing, learning, social interaction, and the production of collective intelligence.
2011-01-01
Background Web 2.0 provides a platform or a set of tools such as blogs, wikis, really simple syndication (RSS), podcasts, tags, social bookmarks, and social networking software for knowledge sharing, learning, social interaction, and the production of collective intelligence in a virtual environment. Web 2.0 is also becoming increasingly popular in e-learning and e-social communities. Objectives The objectives were to investigate how Web 2.0 tools can be applied for knowledge sharing, learning, social interaction, and the production of collective intelligence in the nursing domain and to investigate what behavioral perceptions are involved in the adoption of Web 2.0 tools by nurses. Methods The decomposed technology acceptance model was applied to construct the research model on which the hypotheses were based. A questionnaire was developed based on the model and data from nurses (n = 388) were collected from late January 2009 until April 30, 2009. Pearson’s correlation analysis and t tests were used for data analysis. Results Intention toward using Web 2.0 tools was positively correlated with usage behavior (r = .60, P < .05). Behavioral intention was positively correlated with attitude (r = .72, P < .05), perceived behavioral control (r = .58, P < .05), and subjective norm (r = .45, P < .05). In their decomposed constructs, perceived usefulness (r = .7, P < .05), relative advantage (r = .64, P < .05), and compatibility (r = .60, P < .05) were positively correlated with attitude, but perceived ease of use was not significantly correlated (r = .004, P < .05) with it. Peer (r = .47, P < .05), senior management (r = .24, P < .05), and hospital (r = .45, P < .05) influences had positive correlations with subjective norm. Resource (r = .41, P < .05) and technological (r = .69, P < .05) conditions were positively correlated with perceived behavioral control. Conclusions The identified behavioral perceptions may further health policy makers’ understanding of nurses’ concerns regarding and barriers to the adoption of Web 2.0 tools and enable them to better plan the strategy of implementation of Web 2.0 tools for knowledge sharing, learning, social interaction, and the production of collective intelligence. PMID:22079851
An intelligent training system for payload-assist module deploys
NASA Technical Reports Server (NTRS)
Loftin, R. Bowen; Wang, Lui; Baffes, Paul; Rua, Monica
1987-01-01
An autonomous intelligent training system which integrates expert system technology with training/teaching methodologies is described. The Payload-Assist Module Deploys/Intelligent Computer-Aided Training (PD/ICAT) system has, so far, proven to be a potentially valuable addition to the training tools available for training Flight Dynamics Officers in shuttle ground control. The authors are convinced that the basic structure of PD/ICAT can be extended to form a general architecture for intelligent training systems for training flight controllers and crew members in the performance of complex, mission-critical tasks.
A Probabilistic Model of Social Working Memory for Information Retrieval in Social Interactions.
Li, Liyuan; Xu, Qianli; Gan, Tian; Tan, Cheston; Lim, Joo-Hwee
2018-05-01
Social working memory (SWM) plays an important role in navigating social interactions. Inspired by studies in psychology, neuroscience, cognitive science, and machine learning, we propose a probabilistic model of SWM to mimic human social intelligence for personal information retrieval (IR) in social interactions. First, we establish a semantic hierarchy as social long-term memory to encode personal information. Next, we propose a semantic Bayesian network as the SWM, which integrates the cognitive functions of accessibility and self-regulation. One subgraphical model implements the accessibility function to learn the social consensus about IR-based on social information concept, clustering, social context, and similarity between persons. Beyond accessibility, one more layer is added to simulate the function of self-regulation to perform the personal adaptation to the consensus based on human personality. Two learning algorithms are proposed to train the probabilistic SWM model on a raw dataset of high uncertainty and incompleteness. One is an efficient learning algorithm of Newton's method, and the other is a genetic algorithm. Systematic evaluations show that the proposed SWM model is able to learn human social intelligence effectively and outperforms the baseline Bayesian cognitive model. Toward real-world applications, we implement our model on Google Glass as a wearable assistant for social interaction.
Amdurer, Emily; Boyatzis, Richard E.; Saatcioglu, Argun; Smith, Melvin L.; Taylor, Scott N.
2014-01-01
Career scholars have called for a broader definition of career success by inviting greater exploration of its antecedents. While success in various jobs has been predicted by intelligence and in other studies by competencies, especially in management, long term impact of having intelligence and using competencies has not been examined. Even in collegiate outcome studies, few have examined the longer term impact on graduates' careers or lives. This study assesses the impact of demonstrated emotional, social, and cognitive intelligence competencies assessed at graduation and g measured through GMAT at entry from an MBA program on career and life satisfaction, and career success assessed 5 to 19 years after graduation. Using behavioral measures of competencies (i.e., as assessed by others), we found that emotional intelligence competencies predict career satisfaction and success. Adaptability had a positive impact, but influence had the opposite effect on these career measures and life satisfaction. Life satisfaction was negatively affected by achievement orientation and positively affected by teamwork. Current salary, length of marriage, and being younger at time of graduation positively affect all three measures of life and career satisfaction and career success. GMAT (as a measure of g) predicted life satisfaction and career success to a slight but significant degree in the final model analyzed. Meanwhile, being female and number of children positively affected life satisfaction but cognitive intelligence competencies negatively affected it, and in particular demonstrated systems thinking was negative. PMID:25566128
Amdurer, Emily; Boyatzis, Richard E; Saatcioglu, Argun; Smith, Melvin L; Taylor, Scott N
2014-01-01
Career scholars have called for a broader definition of career success by inviting greater exploration of its antecedents. While success in various jobs has been predicted by intelligence and in other studies by competencies, especially in management, long term impact of having intelligence and using competencies has not been examined. Even in collegiate outcome studies, few have examined the longer term impact on graduates' careers or lives. This study assesses the impact of demonstrated emotional, social, and cognitive intelligence competencies assessed at graduation and g measured through GMAT at entry from an MBA program on career and life satisfaction, and career success assessed 5 to 19 years after graduation. Using behavioral measures of competencies (i.e., as assessed by others), we found that emotional intelligence competencies predict career satisfaction and success. Adaptability had a positive impact, but influence had the opposite effect on these career measures and life satisfaction. Life satisfaction was negatively affected by achievement orientation and positively affected by teamwork. Current salary, length of marriage, and being younger at time of graduation positively affect all three measures of life and career satisfaction and career success. GMAT (as a measure of g) predicted life satisfaction and career success to a slight but significant degree in the final model analyzed. Meanwhile, being female and number of children positively affected life satisfaction but cognitive intelligence competencies negatively affected it, and in particular demonstrated systems thinking was negative.
Validation of the Child and Adolescent Social Perception Measure.
ERIC Educational Resources Information Center
Koning, Cyndie; Magill-Evans, Joyce
2001-01-01
Compared 32 adolescent boys who had social skills deficits consistent with Asperger's Disorder to 29 controls matched on age and intelligence quotient. Significant differences were found between groups on Child and Adolescent Social Perception Measure scores, and the validity of the instrument was supported. (Contains 37 references.) (JOW)
Munk, Lyle Kris
2016-01-01
The primary emphasis in dental education is on developing students' cognitive intelligence (thinking) and technical intelligence (doing), while emotional intelligence (being) receives less emphasis. The aim of this study was to explore a potential consequence of the paucity of emotional intelligence education by determining the level of emotional intelligence-related (EI-R) infractions in state dental board disciplinary actions and characterizing the types of those infractions. For this study, 1,100 disciplinary action reports from 21 state dental boards were reviewed, and disciplinary infractions were classified as cognitive intelligence-related (CI-R) infractions, technical intelligence-related (TI-R) infractions, and EI-R infractions. EI-R infractions were then subcategorized into emotional intelligence clusters and competencies using the Emotional and Social Competency Inventory (ESCI). The results showed that 56.6% of the infractions were EI-R. When the EI-R infractions were subcategorized, the four competencies most frequently violated involved transparency, teamwork and collaboration, organizational awareness, and accurate self-assessment. Understanding the frequency and nature of EI-R infractions may promote awareness of the need for increased attention to principles of emotional intelligence in dental education and may encourage integration of those principles across dental curricula to help students understand the impact of emotional intelligence on their future well-being and livelihood.