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Resilient cooperators stabilize long-run cooperation in the finitely repeated Prisoners Dilemma

机译:富有弹性的合作者在有限的囚徒困境中稳定了长期合作

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摘要

Learning in finitely repeated games of cooperation remains poorly understood in part because their dynamics play out over a timescale exceeding that of traditional lab experiments. Here, we report results of a virtual lab experiment in which 94 subjects play up to 400 ten-round games of Prisoner's Dilemma over the course of twenty consecutive weekdays. Consistent with previous work, the typical round of first defection moves earlier for several days; however, this unravelling process stabilizes after roughly one week. Analysing individual strategies, we find that approximately 40% of players behave as resilient cooperators who avoid unravelling even at significant cost to themselves. Finally, using a standard learning model we predict that a sufficiently large minority of resilient cooperators can permanently stabilize unravelling among a majority of rational players. These results shed hopeful light on the long-term dynamics of cooperation, and demonstrate the importance of long-run experiments.
机译:在有限的重复合作游戏中学习的知识仍然知之甚少,部分原因是它们的动态性超出了传统实验室实验的时间范围。在这里,我们报告了一个虚拟实验室实验的结果,其中94名受试者在连续的20个工作日内进行了多达400场10轮囚徒困境游戏。与以前的工作一致,典型的第一轮叛逃行动提前了几天。但是,展开过程大约在一周后稳定下来。通过分析个体策略,我们发现大约40%的参与者表现为有弹性的合作伙伴,即使自己付出了高昂的代价,他们也避免了失败。最后,使用标准的学习模型,我们预测,足够多的弹性合作者可以永久稳定大多数理性参与者之间的交流。这些结果为合作的长期动力提供了希望,并证明了长期实验的重要性。

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