The theory of learning in games

"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 o...

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Detalhes bibliográficos
Principais autores: Fudenberg, Drew, 1957-, Levine, David K. (Autor)
Formato: Livre papier
Idioma:Anglais
Publicado em: Cambridge (Mass.) ; London : the MIT press cop. 1998.
coleção:MIT press series on economic learning and social evolution 2
Assuntos:
Nota: Autre tirage : 1999
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• The theory of learning in games, Ressource électronique, Drew Fudenberg and David K. Levine., Cambridge, Mass., MIT Press, c1998, MIT Press series on economic learning and social evolution, 978-0-585-13378-2
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520 |a "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" (Editor's description) 
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