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dc.contributor.authorLevine, David K.
dc.contributor.authorFudenberg, Drew
dc.date.accessioned2018-03-02T21:51:43Z
dc.date.available2018-03-02T21:51:43Z
dc.date.issued2016
dc.identifier.issn0895-3309
dc.identifier.urihttp://hdl.handle.net/1721.1/113940
dc.description.abstractGame theory has been a huge success in economics. Many important questions have been answered, and game theoretic methods are now central to much economic investigation. We suggest areas where further advances are important, and argue that models of learning are a promising route for improving and widening game theory's predictive power while preserving the successes of game theory where it already works well. We emphasize in particular the need for better understanding of the speed with which learning takes place.en_US
dc.publisherAmerican Economic Associationen_US
dc.relation.isversionofhttp://dx.doi.org/10.1257/jep.30.4.151en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAmerican Economic Associationen_US
dc.titleWhither Game Theory? Towards a Theory of Learning in Gamesen_US
dc.typeArticleen_US
dc.identifier.citationFudenberg, Drew, and David K. Levine. “Whither Game Theory? Towards a Theory of Learning in Games.” Journal of Economic Perspectives, vol. 30, no. 4, Nov. 2016, pp. 151–70.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economicsen_US
dc.contributor.mitauthorFudenberg, Drew
dc.relation.journalJournal of Economic Perspectivesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-02-22T14:30:51Z
dspace.embargo.termsNen_US
mit.licensePUBLISHER_POLICYen_US


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