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Ten-month-old infants infer the value of goals from the costs of actions

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dc.contributor.author Liu, Shari
dc.contributor.author Spelke, Elizabeth S.
dc.contributor.author Ullman, Tomer David
dc.contributor.author Tenenbaum, Joshua B
dc.date.accessioned 2017-11-27T18:17:41Z
dc.date.available 2017-11-27T18:17:41Z
dc.date.issued 2017-11
dc.date.submitted 2017-05
dc.identifier.issn 0036-8075
dc.identifier.issn 1095-9203
dc.identifier.uri http://hdl.handle.net/1721.1/112291
dc.description.abstract Infants understand that people pursue goals, but how do they learn which goals people prefer? We tested whether infants solve this problem by inverting a mental model of action planning, trading off the costs of acting against the rewards actions bring. After seeing an agent attain two goals equally often at varying costs, infants expected the agent to prefer the goal it attained through costlier actions. These expectations held across three experiments that conveyed cost through different physical path features (height, width, and incline angle), suggesting that an abstract variable—such as “force,” “work,” or “effort”—supported infants’ inferences. We modeled infants’ expectations as Bayesian inferences over utility-theoretic calculations, providing a bridge to recent quantitative accounts of action understanding in older children and adults. en_US
dc.language.iso en_US
dc.publisher American Association for the Advancement of Science (AAAS) en_US
dc.relation.isversionof http://dx.doi.org/10.1126/science.aag2132 en_US
dc.rights Creative Commons Attribution 4.0 International en_US
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en_US
dc.source PsyArXiv en_US
dc.title Ten-month-old infants infer the value of goals from the costs of actions en_US
dc.type Article en_US
dc.identifier.citation Liu, Shari et al. “Ten-Month-Old Infants Infer the Value of Goals from the Costs of Actions.” Science 358, 6366 (November 2017): 1038–1041 © 2017 American Association for the Advancement of Science (AAAS) en_US
dc.contributor.department Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences en_US
dc.contributor.department McGovern Institute for Brain Research at MIT. Center for Brains, Minds, and Machines en_US
dc.contributor.mitauthor Ullman, Tomer David
dc.contributor.mitauthor Tenenbaum, Joshua B
dc.relation.journal Science en_US
dc.identifier.mitlicense PUBLISHER_POLICY en_US
dc.eprint.version Author's final manuscript en_US
dc.type.uri http://purl.org/eprint/type/JournalArticle en_US
eprint.status http://purl.org/eprint/status/PeerReviewed en_US
dspace.orderedauthors Liu, Shari; Ullman, Tomer D.; Tenenbaum, Joshua B.; Spelke, Elizabeth S. en_US
dspace.embargo.terms N en_US
dc.identifier.orcid https://orcid.org/0000-0003-1722-2382
dc.identifier.orcid https://orcid.org/0000-0002-1925-2035


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