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A Round-Robin Tournament of the Iterated Prisoner's Dilemma with Complete Memory-Size-Three Strategies

机译:具有完整记忆容量的三种策略的循环囚徒困境巡回赛

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摘要

The results of simulating a prisoner's dilemma round-robin tournament are presented. In the tournament, each participating strategy played an iterated prisoner's dilemma against each of the other strategies (round-robin) and as a variant also against itself. The participants of a tournament are all deterministic strategies and have the same memory size regarding their own and their opponent's past actions. Memory sizes of up to three of the most recent actions of their opponent and up to two of their own are discussed. The investigation focused on the influence of the number of iterations, the details of the payoff matrix, and the memory size. The main result for the tournament as carried out here is that different strategies emerge as winners for different payoff matrices. This is true even for different payoff matrices that are judged to be similar if they fulfill relations T + S = P + R or 2R>T + S. As a consequence of this result, it is suggested that whenever the iterated prisoner's dilemma is used to model a real system that does not explicitly fix the payoff matrix, conclusions should be checked for validity when a different payoff matrix is used.
机译:给出了模拟囚徒困境巡回锦标赛的结果。在锦标赛中,每种参与策略都与其他策略(循环赛)对战,使囚徒陷入困境。锦标赛的参与者都是确定性策略,关于他们自己和对手过去的行为具有相同的记忆大小。讨论了最多三个对手最近的动作和最多两个自己的记忆大小。研究重点在于迭代次数,收益矩阵的详细信息和内存大小的影响。此处进行的锦标赛的主要结果是,不同的支付矩阵的赢家出现了不同的策略。即使对于满足关系T + S = P + R或2R> T + S的不同支付矩阵,也是如此,这是结果。因此,建议无论何时使用迭代囚徒困境为了对没有明确固定收益矩阵的真实系统建模,当使用其他收益矩阵时,应检查结论的有效性。

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  • 来源
    《Complex Systems 》 |2011年第4期| p.363-389| 共27页
  • 作者

    Tobias Kretz;

  • 作者单位

    PTV - Planung Transport Verkehr AG Stumpfstrajie 1 D-76131 Karlsruhe, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
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