Long Horizon Repeated Games: How Does Ending Rule Affect Decisions in High Δ Games

Christopher Candreva
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引用次数: 2

Abstract

This paper looks to see if subjects approach long, indefinitely repeated Prisoner's Dilemma games featuring discounted payoffs with an option to opt out differently from how they approach long, indefinitely repeated Prisoner's Dilemma games that are randomly terminated. I show under relatively general assumptions that the critical δ ∗ -value, above which cooperation can be supported as a Subgame Perfect Equilibrium, differs between the two environments. A between-subject design with δ = 0.98 was used to determine if subject behavior did vary by treatment. First period and all period cooperation rates were found to be higher in the random termination treatment compared to the discounted treatment. The evolution of cooperation across supergames also differed between the two treatments. Behavior in the discounted treatment did not follow the patterns typically observed in the literature. Lastly, the Strategy Frequency Estimation Method (SFEM) was used to determine whether or not subjects in different treatments used different repeated game strategies. I find that subjects in the discounted treatment were more likely to play strategies that defect initially (All D, STFT), but cooperative subjects tended to play more forgiving strategies (TFT, STFT). Conversely, subjects in the randomly terminated treatment tended to play more initially cooperative, yet less forgiving strategies (Grim, Grim2).
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长视界重复游戏:结束规则如何影响高Δ游戏中的决策
这篇论文想看看受试者是否会在长期、无限期重复的囚徒困境游戏中选择退出,而不是在长期、无限期重复、随机终止的囚徒困境游戏中选择退出。我证明了在相对一般的假设下,临界δ *值在两种环境之间是不同的,在此值之上,合作可以被支持为子博弈的完美均衡。采用δ = 0.98的受试者间设计来确定受试者的行为是否因治疗而改变。随机终止处理的第一阶段和所有阶段的合作率均高于贴现处理。两种处理方式在超级游戏中的合作进化也有所不同。打折治疗中的行为不遵循文献中典型观察到的模式。最后,采用策略频率估计方法(SFEM)确定不同处理的受试者是否使用不同的重复博弈策略。我发现,折扣组的被试更有可能采取一开始就有缺陷的策略(All D, STFT),而合作组的被试倾向于采取更宽容的策略(TFT, STFT)。相反,在随机终止的治疗中,受试者倾向于最初更合作,但更不宽容的策略(Grim, Grim2)。
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