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Asynchronous Iterated Prisoner's Dilemma

机译：异步迭代囚徒困境

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摘要

The prisoner's dilemma is widely accepted as a standard model for studying the emergence of mutual cooperation within populations of selfish individuals. Simulation studies of the prisoner's dilemma, where players make probabilistic choices based on previous actions, find that strategies such as win-stay-lose-shift, tit-for-tat, and firm-but-fair come to dominate the long-term behavior of the population. Often, these models assume that decisions are made in synchrony. In many biological contexts, this is an unrealistic assumption, as individuals change their behavior on different and uncorrelated timescales. Here we develop a model where both, one, or neither of the players can update their behavior at any time. This study demonstrates that as the assumption of synchrony is relaxed, less reactive and more generous strategies such as firm-but-fair dominate the long-term population dynamics.
机译：囚徒的困境被广泛接受为研究自私人群内部相互合作出现的标准模型。对囚徒困境的模拟研究表明，参与者根据先前的行动做出概率选择，发现诸如输赢输，以牙还牙，以及坚定但公平的策略将主导长期行为人口。通常，这些模型假定决策是同步进行的。在许多生物学背景下，这是不现实的假设，因为个体会在不同且不相关的时间尺度上改变其行为。在这里，我们开发了一个模型，其中一个或两个参与者都可以随时更新其行为。这项研究表明，随着人们对同步性的假设放松，反应迟钝和慷慨的策略（如坚定但公平）将主导长期人口动态。

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