Publication Date:
2011-01-29
Description:
Human infants face the formidable challenge of learning the structure of their social environment. Previous research indicates that infants have early-developing representations of intentional agents, and of cooperative social interactions, that help meet that challenge. Here we report five studies with 144 infant participants showing that 10- to 13-month-old, but not 8-month-old, infants recognize when two novel agents have conflicting goals, and that they use the agents' relative size to predict the outcome of the very first dominance contests between them. These results suggest that preverbal infants mentally represent social dominance and use a cue that covaries with it phylogenetically, and marks it metaphorically across human cultures and languages, to predict which of two agents is likely to prevail in a conflict of goals.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3860821/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3860821/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Thomsen, Lotte -- Frankenhuis, Willem E -- Ingold-Smith, McCaila -- Carey, Susan -- 2 R01 HD038338/HD/NICHD NIH HHS/ -- R01 HD038338/HD/NICHD NIH HHS/ -- New York, N.Y. -- Science. 2011 Jan 28;331(6016):477-80. doi: 10.1126/science.1199198.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory for Developmental Studies, Department of Psychology, Harvard University, William James Hall, 33 Kirkland Street, Cambridge, MA 02138, USA. lthomsen@fas.harvard.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21273490" target="_blank"〉PubMed〈/a〉
Keywords:
Analysis of Variance
;
Attention
;
*Cognition
;
Cues
;
Female
;
Humans
;
Infant
;
Learning
;
Male
;
*Social Dominance
;
*Social Perception
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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