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dc.contributor.authorGoodman, Noah D.
dc.contributor.authorTenenbaum, Joshua B.
dc.contributor.authorGriffiths, Thomas L.
dc.contributor.authorFeldman, Jacob
dc.date.accessioned2020-04-22T18:07:59Z
dc.date.available2020-04-22T18:07:59Z
dc.date.issued2008
dc.identifier.isbn9780199216093
dc.identifier.urihttps://hdl.handle.net/1721.1/124810
dc.description.abstractThis chapter provides a range of conceptual and technical insights into how this project can be attempted - and goes some way to suggesting that probabilistic methods need not be viewed as inevitably unable to capture the richness and complexity of world knowledge. It argues that structured representations, generated by a formal grammar, can be appropriate units over which probabilistic information can be represented and learned. This topic is likely to be one of the main challenges for probabilistic research in cognitive science and artificial intelligence over the coming decades. Keywords: probabilistic research; knowledge; grammar; concept learning; cognitive science; artificial intelligenceen_US
dc.language.isoen
dc.publisherOxford University Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1093/acprof:oso/9780199216093.003.0017en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceother univ websiteen_US
dc.titleCompositionality in rational analysis: Grammar-based induction for concept learningen_US
dc.typeArticleen_US
dc.identifier.citationGoodman, Noah D. et al. "Compositionality in rational analysis: Grammar-based induction for concept learning." The Probabilistic Mind: Prospects for Bayesian Cognitive Science, edited by Nick Chater and Mike Oaksford, Oxford University Press, 2008. © 2008 Oxford University Pressen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journalThe Probabilistic Mind: Prospects for Bayesian Cognitive Scienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/BookItemen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-10-04T14:33:18Z
dspace.date.submission2019-10-04T14:33:19Z


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