The Theory Of Learning In Games by Drew FudenbergThe Theory Of Learning In Games by Drew Fudenberg

The Theory Of Learning In Games

byDrew Fudenberg, David K. Levine

Paperback | June 3, 1998

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In economics, most noncooperative game theory has focused on equilibrium in games, especially Nash equilibrium and its refinements. The traditional explanation for when and why equilibrium arises is that it results from analysis and introspection by the players in a situation where the rules of the game, the rationality of the players, and the players' payoff functions are all common knowledge. Both conceptually and empirically, this theory has many problems.

In The Theory of Learning in Games Drew Fudenberg and David Levine develop an alternative explanation that equilibrium arises as the long-run outcome of a process in which less than fully rational players grope for optimality over time. The models they explore provide a foundation for equilibrium theory and suggest useful ways for economists to evaluate and modify traditional equilibrium concepts.

David K. Levine is John H. Biggs Distinguished Professor of Economics at Washington University, St. Louis.
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Title:The Theory Of Learning In GamesFormat:PaperbackDimensions:294 pages, 9 × 6 × 1.1 inPublished:June 3, 1998Publisher:The MIT PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0262529246

ISBN - 13:9780262529242

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This book collects the essential existing results in the fast-paced field of learning and evolutionary game theory together with new work by two leaders in the field. It will be essential to anyone doing theoretical work on learning and games or using evoultionary game theory in applied work.