A Short Note on the Solution of the Prisoner's Dilemma

M. Köppen, M. Tsuru
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Abstract

Here we reconsider the solution of the well-known Prisoner's Dilemma from a binary relation point of view. We identify the Nash equilibrium as single maximum element of a relation (we call it coordination relation) between the cells of a multidimensional payoff array. The comparison between reward vectors of cells is according to a preference relation of each player. This approach allows for an easier extension to cases of n players and m strategies, but also cases of varying preference relations among the players. This way we can judge on negotiable situations by analyzing maximum set sizes of the coordination relation. As an example, we study the prospect of players focusing on maximal total or least rewards (the latter one being a model for fair decision making). It appears as an apparent counter-intuitive result that such player preferences do not lead to Nash equilibria at all since they result in a strongly increasing number of maximal elements, thus hardening a joint decision making.
囚徒困境的解法简论
这里我们从二元关系的角度重新考虑著名的囚徒困境的解。我们将纳什均衡定义为多维支付数组单元之间关系(我们称之为协调关系)的单个最大元素。细胞间奖励向量的比较是根据每个玩家的偏好关系进行的。这种方法可以更容易地扩展到n个参与者和m个策略的情况,但也可以扩展到参与者之间不同的偏好关系的情况。这种方法可以通过分析协调关系的最大集大小来判断可协商的情况。例如,我们研究了玩家关注最大总奖励或最小奖励的前景(后者是公平决策的模型)。这似乎是一个明显的反直觉结果,即这种玩家偏好根本不会导致纳什均衡,因为它们会导致最大元素数量的大幅增加,从而强化联合决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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