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Direct reciprocity with costly punishment: generous tit-for-tat prevails

机译:直接互惠与代价高昂的惩罚:慷慨的针锋相对

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摘要

The standard model for direct reciprocity is the repeated Prisoner’s Dilemma, where in each round players choose between cooperation and defection. Here we extend the standard framework to include costly punishment. Now players have a choice between cooperation, defection and costly punishment. We study the set of all reactive strategies, where the behavior depends on what the other player has done in the previous round. We find all cooperative strategies that are Nash equilibria. If the cost of cooperation is greater than the cost of punishment, then the only cooperative Nash equilibrium is generous-tit-for-tat (GTFT), which does not use costly punishment. If the cost of cooperation is less than the cost of punishment, then there are infinitely many cooperative Nash equilibria and the response to defection can include costly punishment. We also perform computer simulations of evolutionary dynamics in populations of finite size. These simulations show that in the context of direct reciprocity, (i) natural selection prefers generous tit-for-tat over strategies that use costly punishment, and (ii) that costly punishment does not promote the evolution of cooperation. We find quantitative agreement between our simulation results and data from experimental observations.
机译:直接互惠的标准模型是重复的《囚徒困境》,在此回合中玩家可以在合作与叛逃之间做出选择。在这里,我们将标准框架扩展到包括昂贵的惩罚。现在,玩家可以在合作,叛逃和昂贵的惩罚之间进行选择。我们研究了所有反应性策略的集合,其中行为取决于其他参与者在上一轮中所做的事情。我们发现所有合作策略都是纳什均衡。如果合作成本大于惩罚成本,那么唯一的合作纳什均衡就是慷慨的“针锋相对”(GTFT),它不使用代价高昂的惩罚。如果合作的成本小于惩罚的成本,那么就有无限多的合作纳什均衡,对叛逃的反应可能包括代价高昂的惩罚。我们还对数量有限的种群中的进化动力学进行计算机模拟。这些模拟表明,在直接互惠的背景下,(i)自然选择更喜欢慷慨地按部就班,而不是使用代价高昂的惩罚策略;(ii)代价高昂的惩罚不会促进合作的发展。我们发现模拟结果与实验观察数据之间存在定量一致性。

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