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Whither Game Theory? Towards a Theory of Learning in Games

Author(s)
Levine, David K.; Fudenberg, Drew
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Article 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.

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Article 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.
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Abstract
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.
Date issued
2016
URI
http://hdl.handle.net/1721.1/113940
Department
Massachusetts Institute of Technology. Department of Economics
Journal
Journal of Economic Perspectives
Publisher
American Economic Association
Citation
Fudenberg, 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.
Version: Final published version
ISSN
0895-3309

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