592 research outputs found

    Knowing who likes who: The early developmental basis of coalition understanding

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    Group biases based on broad category membership appear early in human development. However, like many other primates humans inhabit social worlds also characterised by small groups of social coalitions which are not demarcated by visible signs or social markers. A critical cognitive challenge for a young child is thus how to extract information concerning coalition structure when coalitions are dynamic and may lack stable and outwardly visible cues to membership. Therefore, the ability to decode behavioural cues of affiliations present in everyday social interactions between individuals would have conferred powerful selective advantages during our evolution. This would suggest that such an ability may emerge early in life, however, little research has investigated the developmental origins of such processing. The present paper will review recent empirical research which indicates that in the first 2 years of life infants achieve a host of social-cognitive abilities that make them well adapted to processing coalition-affiliations of others. We suggest that such an approach can be applied to better understand the origins of intergroup attitudes and biases. Copyright © 2010 John Wiley & Sons, Ltd

    What happened? Do preschool children and capuchin monkeys spontaneously use visual traces to locate a reward?

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    This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (grant agreement no. 639072). Edinburgh Zoo's Living Links Research Facility is core supported by the Royal Zoological Society of Scotland (registered charity no.: SC004064) through funding generated by its visitors, members and supporters.The ability to infer unseen causes from evidence is argued to emerge early in development and to be uniquely human. We explored whether preschoolers and capuchin monkeys could locate a reward based on the physical traces left following a hidden event. Preschoolers and capuchin monkeys were presented with two cups covered with foil. Behind a barrier, an experimenter (E) punctured the foil coverings one at a time, revealing the cups with one cover broken after the first event and both covers broken after the second. One event involved hiding a reward, the other event was performed with a stick (order counterbalanced). Preschoolers and, with additional experience, monkeys could connect the traces to the objects used in the puncturing events to find the reward. Reversing the order of events perturbed the performance of 3-year olds and capuchins, while 4-year-old children performed above chance when the order of events was reversed from the first trial. Capuchins performed significantly better on the ripped foil task than they did on an arbitrary test in which the covers were not ripped but rather replaced with a differently patterned cover. We conclude that by 4 years of age children spontaneously reason backwards from evidence to deduce its cause.Publisher PDFPeer reviewe

    Perceiving Agency

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    When we look around the world, some things are inert and others are ‘alive’. What is it to ‘look alive’? An account of animacy perception is crucial, both for a proper understanding of visual experience, and for downstream questions about the epistemology of social cognition. I argue that empirical work on animacy supports the view that animacy is genuinely perceptual. We should construe perception of animacy as perception of agents and perception of behavior. My proposal explains how static and dynamic animacy cues relate, and offers a plausible account of how animacy perception relates to social cognition more broadly. Animacy perception draws perceptual attention to objects that are apt to be well-understood folk psychologically, and in doing so enables us to marshal our folk psychological resources efficiently

    Social categorization and joint attention: Interacting effects of age, sex, and social status.

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    In the present study, we examine how person categorization conveyed by the combination of multiple cues modulates joint attention. In three experiments, we tested the combinatory effect of age, sex, and social status on gaze-following behaviour and pro-social attitudes. In Experiments 1 and 2, young adults were required to perform an instructed saccade towards left or right targets while viewing a to-be-ignored distracting face (female or male) gazing left or right, that could belong to a young, middle-aged, or elderly adult of high or low social status. Social status was manipulated by semantic knowledge (Experiment 1) or through visual appearance (Experiment 2). Results showed a clear combinatory effect of person perception cues on joint attention (JA). Specifically, our results showed that age and sex cues interacted with social status information depending on the modality through which it was conveyed. In Experiment 3, we further investigated our results by testing whether the identities used in Experiments 1 and 2 triggered different pro-social behaviour. The results of Experiment 3 showed that the identities resulting as more distracting in Experiments 1 and 2 were also perceived as more in need and prompt helping behaviour. Taken together, our evidence shows a combinatorial effect of age, sex, and social status in modulating the gaze following behaviour, highlighting a complex and dynamic interplay between person categorization and joint attention

    Building Machines That Learn and Think Like People

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    Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning and thinking machines will have to reach beyond current engineering trends in both what they learn, and how they learn it. Specifically, we argue that these machines should (a) build causal models of the world that support explanation and understanding, rather than merely solving pattern recognition problems; (b) ground learning in intuitive theories of physics and psychology, to support and enrich the knowledge that is learned; and (c) harness compositionality and learning-to-learn to rapidly acquire and generalize knowledge to new tasks and situations. We suggest concrete challenges and promising routes towards these goals that can combine the strengths of recent neural network advances with more structured cognitive models.Comment: In press at Behavioral and Brain Sciences. Open call for commentary proposals (until Nov. 22, 2016). https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/information/calls-for-commentary/open-calls-for-commentar

    Children\u27s Ability to Distinguish between Memories from Multiple Sources: Implications for the Quality and Accuracy of Eyewitness Statements

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    Identifying the sources of memories (e.g., who carried out an action, whether an event happened or was suggested, when an instance of a repeated event occurred) is an important skill in providing accurate accounts of events in forensic investigations. Sensitivity to the nature and development of children’s source-monitoring skills can inform interviewing practices. Five perspectives addressing alternate aspects of the development of children’s source monitoring are outlined (source-monitoring theory, fuzzy-trace theory, schema theory, the person-based perspective, and the mental-state reasoning model). Six main areas of empirical research stemming from these theories are then discussed with emphasis on how the findings relate to the forensic arena: The similarity of sources, the identity of the agent, prospective processing, the relation of source monitoring to other cognitive skills, metacognitive understanding, and the stringency of source-monitoring decisions. The research reviewed is used to address two main applications to forensic investigations: (a) expectations of child witnesses, and (b) interviewing protocols
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