Averaged predictions and the learning of equilibrium play
AbstractThe main objects here are noncooperative games in which all externalities occur via a one-dimensional variable. So-called mean-value iterates are used to approach Nash equilibrium. The proposed schemes generalize many received methods, and can be interpreted as learning taking place during repeated play. An important feature is that no player need to be fully informed about the game structure. Particular examples include Cournot oligopolies and some nonatomic market games.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Economic Dynamics and Control.
Volume (Year): 22 (1998)
Issue (Month): 6 (June)
Contact details of provider:
Web page: http://www.elsevier.com/locate/jedc
Other versions of this item:
- Flam, S.D., 1998. "Averaged Predictions and the Learning of Equilibrium Play," Norway; Department of Economics, University of Bergen 178, Department of Economics, University of Bergen.
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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