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Evolutionary cycles of cooperation and defection

机译:合作与叛变的进化周期

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The main obstacle for the evolution of cooperation is that natural selection favors defection in most settings. In the repeated prisoner's dilemma, two individuals interact several times, and, in each round, they have a choice between cooperation and defection. We analyze the evolutionary dynamics of three simple strategies for the repeated prisoner's dilemma: always defect (ALLD), always cooperate (ALLC), and tit-for-tat (TFT). We study mutation-selection dynamics in finite populations. Despite ALLD being the only strict Nash equilibrium, we observe evolutionary oscillations among all three strategies. The population cycles from ALLD to TFT to ALLC and back to ALLD. Most surprisingly, the time average of these oscillations can be entirely concentrated on TFT. In contrast to the classical expectation, which is informed by deterministic evolutionary game theory of infinitely large populations, stochastic evolution of finite populations need not choose the strict Nash equilibrium and can therefore favor cooperation over defection.
机译:合作发展的主要障碍是自然选择在大多数情况下有利于叛逃。在反复的囚徒困境中,两个人互动了几次,并且在每个回合中,他们可以在合作与叛逃之间做出选择。针对重复的囚徒困境,我们分析了三种简单策略的演化动力学:始终缺陷(ALLD),始终合作(ALLC)和针锋相对(TFT)。我们研究有限人群中的突变选择动力学。尽管ALLD是唯一严格的纳什均衡,但我们观察到了这三种策略之间的演化振荡。填充周期从ALLD到TFT再到ALLC,再回到ALLD。最令人惊讶的是,这些振荡的时间平均可以完全集中在TFT上。与由无限大种群的确定性演化博弈论所启发的经典期望相反,有限种群的随机演化不需要选择严格的纳什均衡,因此可以偏向于合作而不是背叛。

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