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The Structure of a Probabilistic 1-State Transducer Representation for Prisoner's Dilemma

机译:囚徒困境的概率一态换能器表示的结构

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In the study of evolutionary game theory, a tool called the fingerprint was developed. This mathematical technique generates a functional summary of an arbitrary game-playing strategy independent of representational details. Using this tool, this study expands the boundaries of investigating an entire small state space of strategies, to wit the probabilistic 1-state tranducers, as a representation for playing iterated Prisoner's Dilemma. A sampled grid of 35,937 strategies out of the continuous cube was used: they are fingerprinted and pairwise distances computed. A subsampled grid of 4,913 strategies was analyzed using metric multidimensional scaling. The results show that the known 3-dimensional manifold can be embedded into around 4-5 Euclidean dimensions without self-intersection, and the curvature of the fingerprint metric with respect to standard distance is not too extreme; there is also similarity with analogous results on other state spaces.
机译:在进化博弈论的研究中,开发了一种称为指纹的工具。这种数学技术可以生成独立于表示细节的任意游戏策略的功能摘要。使用此工具,本研究扩展了研究策略的整个较小状态空间的范围,从而吸引了概率性的1状态转换器,从而代表了迭代的囚徒困境。从连续的多维数据集中使用了35937个策略的抽样网格:对它们进行指纹识别并计算成对距离。使用度量多维标度分析了4,913个策略的二次抽样网格。结果表明,已知的3维流形可以嵌入到4-5个欧几里得维数中,而不会发生自相交,并且指纹度量相对于标准距离的曲率不是太高。在其他状态空间上,类似结果也存在相似性。

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