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Whither Game Theory? Towards a Theory of Learning in Games

Bibliographic Data

ID4030043
AuthorsDrew Fudenberg (0000-0002-6747-0125, Massachusetts Institute of Technology), David K Levine (0000-0002-9424-1803, (David K. Levine holds a Joint Chair in the Department of Economics and Robert Schuman Center for Advanced Study, European University Institute, Florence, Italy. He is also John H. Biggs Distinguished Professor of Economics Emeritus, Washington University in St. Louis, St. Louis, Missouri. ))
Year2016
Volume30
Issue4
Pages151-170
Publication date2016-11-01
Open AccessYes
TypeARTICLE
VenueThe Journal of Economic Perspectives (JOURNAL)
Journal identifiersISSN: 0895-3309 • E-ISSN: 1944-7965
PublisherAmerican Economic Association (PUBLISHER • US)
DOI10.1257/jep.30.4.151
OpenAlexW2540823983
LanguageEN
Citations received1
References cited47

Game 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

Economics · Game theory · Implementation theory · Learning theory · Management science · Mathematical economics · Mathematics education · Positive political theory · Repeated game · Computer Science · Economic theories and models · Experimental Behavioral Economics Studies · Game Theory and Applications · Psychology

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Citations per year0.25
Citation span2022 - 2022 (1)
Highly citedNo

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