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Coevolution between positive reciprocity punishment and partner switching in repeated interactions

机译:在反复互动中积极互惠惩罚和伴侣交换之间的共同进化

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摘要

Cooperation based on mutual investments can occur between unrelated individuals when they are engaged in repeated interactions. Individuals then need to use a conditional strategy to deter their interaction partners from defecting. Responding to defection such that the future payoff of a defector is reduced relative to cooperating with it is called a partner control mechanism. Three main partner control mechanisms are (i) to switch from cooperation to defection when being defected (‘positive reciprocity’), (ii) to actively reduce the payoff of a defecting partner (‘punishment’), or (iii) to stop interacting and switch partner (‘partner switching’). However, such mechanisms to stabilize cooperation are often studied in isolation from each other. In order to better understand the conditions under which each partner control mechanism tends to be favoured by selection, we here analyse by way of individual-based simulations the coevolution between positive reciprocity, punishment, and partner switching. We show that random interactions in an unstructured population and a high number of rounds increase the likelihood that selection favours partner switching. In contrast, interactions localized in small groups (without genetic structure) increase the likelihood that selection favours punishment and/or positive reciprocity. This study thus highlights the importance of comparing different control mechanisms for cooperation under different conditions.
机译:当不相关的个​​人反复参与互动时,他们之间可能会发生基于共同投资的合作。然后,个人需要使用条件策略来阻止他们的互动伙伴叛逃。响应缺陷以使缺陷者的未来收益相对于与其合作而减少的情况称为伙伴控制机制。三种主要的合作伙伴控制机制是(i)在背叛时从合作转向叛逃('积极互惠'),(ii)积极减少背叛的合作伙伴的收益('惩罚'),(iii)停止互动并切换合作伙伴(“合作伙伴切换”)。但是,这种稳定合作的机制通常是彼此孤立地研究的。为了更好地了解每个伙伴控制机制倾向于被选择的条件,我们在这里通过基于个体的模拟分析积极互惠,惩罚和伙伴转换之间的协同进化。我们表明,在非结构化群体和大量回合中的随机交互会增加选择有利于伙伴切换的可能性。相反,局限于少数群体(没有遗传结构)的相互作用增加了选择有利于惩罚和/或积极互惠的可能性。因此,这项研究强调了比较不同条件下合作的不同控制机制的重要性。

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