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The Theory of Learning in Games

(Paperback)


Publishing Details

Full Title:

The Theory of Learning in Games

Contributors:

By (Author) Drew Fudenberg
By (author) David K. Levine

ISBN:

9780262529242

Publisher:

MIT Press Ltd

Imprint:

MIT Press

Publication Date:

3rd June 1998

Country:

United States

Classifications

Readership:

Tertiary Education

Fiction/Non-fiction:

Non Fiction

Other Subjects:

Econometrics and economic statistics
Game theory

Dewey:

330.015193

Physical Properties

Physical Format:

Paperback

Number of Pages:

294

Dimensions:

Width 152mm, Height 229mm, Spine 28mm

Description

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.

Reviews

"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."--Larry Samuelson, Antoine Augustin Cournot Professor of Economics, University of Wisconsin
& quot; 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.& quot; -- Larry Samuelson, Antoine Augustin Cournot Professor of Economics, University of Wisconsin
" 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." -- Larry Samuelson, Antoine Augustin Cournot Professor of Economics, University of Wisconsin
-- Larry Samuelson, Antoine Augustin Cournot Professor of Economics, University of Wisconsin

Author Bio

Drew Fudenberg is Professor of Economics at MIT. David K. Levine is John H. Biggs Distinguished Professor of Economics at Washington University, St. Louis.

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