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• W2172106845 abstract "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." @default.
• W2172106845 created "2016-06-24" @default.
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• W2172106845 date "2010-03-01" @default.
• W2172106845 modified "2023-09-30" @default.
• W2172106845 title "The logit-response dynamics" @default.
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• W2172106845 doi "https://doi.org/10.1016/j.geb.2009.08.004" @default.
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