The Theory of Learning in Games

Author:   Drew Fudenberg (Harvard University) ,  David K. Levine (Economics/WUSTL) ,  Ken Binmore (Emeritus Professor of Economics, University College London)
Publisher:   MIT Press Ltd
ISBN:  

9780262061940


Pages:   294
Publication Date:   03 June 1998
Recommended Age:   From 18 years
Format:   Hardback
Availability:   In Print   Availability explained
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The Theory of Learning in Games


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Overview

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 this work the authors 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.

Full Product Details

Author:   Drew Fudenberg (Harvard University) ,  David K. Levine (Economics/WUSTL) ,  Ken Binmore (Emeritus Professor of Economics, University College London)
Publisher:   MIT Press Ltd
Imprint:   MIT Press
Dimensions:   Width: 15.20cm , Height: 2.80cm , Length: 22.90cm
Weight:   0.544kg
ISBN:  

9780262061940


ISBN 10:   0262061945
Pages:   294
Publication Date:   03 June 1998
Recommended Age:   From 18 years
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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


Author Information

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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