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来源类型Article
规范类型其他
DOI10.1006/game.1995.1054
Learning dynamics in games with stochastic perturbations.
Kaniovski YM; Young HP
发表日期1995
出处Games and Economic Behavior 11 (2): 330-363
出版年1995
语种英语
摘要Consider a generalization of fictitious play in which agents′ choices are perturbed by incomplete information about what the other side has done, variability in their payoffs, and unexplained trembles. These perturbed best reply dynamics define a nonstationary Markov process on an infinite state space. It is shown, using results from stochastic approximation theory, that for 2 × 2 games it converges almost surely to a point that lies close to a stable Nash equilibrium, whether pure or mixed. This generalizes a result of Fudenherg and Kreps, who demonstrate convergence when the game has a unique mixed equilibrium.
主题Technological and Economic Dynamics (TED)
URLhttp://pure.iiasa.ac.at/id/eprint/4243/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/127350
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GB/T 7714
Kaniovski YM,Young HP. Learning dynamics in games with stochastic perturbations.. 1995.
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