The mentalistic basis of core social cognition: experiments in preverbal infants and a computational model
Evaluating individuals based on their pro‐ and anti‐social behaviors is fundamental to successful human interaction. Recent research suggests that even preverbal infants engage in social evaluation; however, it remains an open question whether infants’ judgments are driven uniquely by an analysis of...
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Published in | Developmental science Vol. 16; no. 2; pp. 209 - 226 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Blackwell Publishing Ltd
01.03.2013
Wiley-Blackwell Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Evaluating individuals based on their pro‐ and anti‐social behaviors is fundamental to successful human interaction. Recent research suggests that even preverbal infants engage in social evaluation; however, it remains an open question whether infants’ judgments are driven uniquely by an analysis of the mental states that motivate others’ helpful and unhelpful actions, or whether non‐mentalistic inferences are at play. Here we present evidence from 10‐month‐olds, motivated and supported by a Bayesian computational model, for mentalistic social evaluation in the first year of life.A video of this article can be viewed at http://youtu.be/rD_Ry5oqCYE
Evaluating individuals based on their pro‐ and anti‐social behaviors is fundamental to successful human interaction. Recent research suggests that even preverbal infants engage in social evaluation; however, it remains an open question whether infants’ judgments are driven uniquely by an analysis of the mental states that motivate others’ helpful and unhelpful actions, or whether non‐mentalistic inferences are at play. Here we present evidence from 10‐month‐olds, motivated and supported by a Bayesian computational model, for mentalistic social evaluation in the first year of life. |
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Bibliography: | ark:/67375/WNG-6JH7HGL6-6 istex:8CF8D73F1A6C29B04AA23C8A35FDBF5C3503F17E ArticleID:DESC12017 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
ISSN: | 1363-755X 1467-7687 |
DOI: | 10.1111/desc.12017 |