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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Best-response dynamics in a birth-death model of evolution in games
Organization Unit
Authors
  • Carlos Alos-Ferrer
  • Ilja Neustadt
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title International Game Theory Review
Publisher World Scientific Publishing
Geographical Reach international
ISSN 0219-1989
Volume 12
Number 2
Page Range 197 - 204
Date 2010
Abstract Text We consider a model of evolution with mutations as in Kandori et al (1993) [Kandori,M., Mailath, G.J., Rob, R., 1993. Learning, mutation, and long run equilibria in games. Econometrica 61, 29-56], where agents follow best-response decision rules as in Sandholm (1998) [Sandholm, W., 1998. Simple and clever decision rules for a model of evolution. Economics Letters 61, 165-170]. Contrary to those papers, our model gives rise to a birth-death process, which allows explicit computation of the long-run probabilities of equilibria for given values of the mutation rate and the population size. We use this fact to provide a direct proof of the stochastic stability of riskdominant equilibria as the mutation rate tends to zero, and illustrate the outcomes of the dynamics for positive mutation rates.
Digital Object Identifier 10.1142/S021919891000260X
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