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Individual Learning and Cooperation in Noisy Repeated Games

机译:嘈杂的重复游戏中的个人学习与合作

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We investigate whether two players in a long-run relationship can maintain cooperation when the details of the underlying game are unknown. Specifically, we consider a new class of repeated games with private monitoring, where an unobservable state of the world influences the payoff functions and/or the monitoring structure. Each player privately learns the state over time but cannot observe what the opponent learned. We show that there are robust equilibria in which players eventually obtain payoffs as if the true state were common knowledge and players played a "belief-free" equilibrium. We also provide explicit equilibrium constructions in various economic examples.
机译:我们调查了长期合作关系中的两个玩家在基础游戏的细节未知时是否可以保持合作。具体来说,我们考虑一类具有私人监控功能的新型重复游戏,在这种情况下,世界的不可观测状态会影响收益功能和/或监控结构。每个玩家都会随着时间私下学习状态,但是无法观察对手学习到的内容。我们证明存在稳健的均衡,在这种均衡中,玩家最终会获得报酬,就好像真实状态是常识并且玩家扮演了“无信仰”的平衡一样。我们还在各种经济示例中提供了明确的均衡构造。

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