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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title The logit-response dynamics
Organization Unit
Authors
  • Carlos Alos-Ferrer
  • Nick Netzer
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Games and Economic Behavior
Publisher Elsevier
Geographical Reach international
ISSN 0899-8256
Volume 68
Number 2
Page Range 413 - 427
Date 2010
Abstract Text We develop a characterization of stochastically stable states for the logit-response learning dynamics in games, with arbitrary specification of revision opportunities. The result allows us to show convergence to the set of Nash equilibria in the class of best-response potential games and the failure of the dynamics to select potential maximizers beyond the class of exact potential games. We also study to which extent equilibrium selection is robust to the specification of revision opportunities. Our techniques can be extended and applied to a wide class of learning dynamics in games.
Digital Object Identifier 10.1016/j.geb.2009.08.004
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