A convention can be seen as the standard way of playing a game. If different conventions exist in various geographical, social or other entities (called "towns") and if there is some mobility between these towns, which conventions, if any, will emerge as the successful ones? A simple evolutionary process is suggested and it is shown that the process converges to a Nash equilibrium for all games satisfying weak acyclity or a condition called evolutionary stable with respect to pure strategies (ESPS). Further, if the process converges, it converges to an efficient convention for all games in which the Pareto optimal symmetric equilibria are strict. Hence, the paper presents an explanation for the endogenous evolution of efficiency. In contrast to most recent studies in evolutionary game theory, the conclusions do not rely on random "mutations". Instead, the driving force is the tendency of players to have increased interaction with member of their own group (viscosity).
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Length: 21 pages Date of creation: 02 Dec 1993 Date of revision:
04 Dec 1993 Handle: RePEc:wpa:wuwpga:9312001
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Find related papers by JEL classification: C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory D8 - Microeconomics - - Information, Knowledge, and Uncertainty
References listed on IDEAS 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.:
Roger B. Myerson, 1990.
"Viscous Population Equilibria,"
Discussion Papers
906, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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Cited by: (explanations, 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.)
Jeffrey C. Ely, 2002.
"Local Conventions,"
Discussion Papers
1349, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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