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Co-evolution of behaviour and social network structure promotes human cooperation

机译:行为和社交网络结构的共同进化促进人类合作

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The ubiquity of cooperation in nature is puzzling because cooperators can be exploited by defectors. Recent theoretical work shows that if dynamic networks define interactions between individuals, cooperation is favoured by natural selection. To address this, we compare cooperative behaviour in multiple but independent repeated games between participants in static and dynamic networks. In the latter, participants could break their links after each social interaction. As predicted, we find higher levels of cooperation in dynamic networks. Through biased link breaking (i.e. to defectors) participants affected their social environment. We show that this link-breaking behaviour leads to substantial network clustering and we find primarily cooperators within these clusters. This assortment is remarkable because it occurred on top of behavioural assortment through direct reciprocity and beyond the perception of participants, and represents a self-organized pattern. Our results highlight the importance of the interaction between ecological context and selective pressures on cooperation.
机译:自然界中无处不在的合作令人困惑,因为叛逃者可以利用合作者。最近的理论工作表明,如果动态网络定义了个人之间的互动,那么自然选择会促进合作。为了解决这个问题,我们比较了静态和动态网络参与者在多个但独立的重复游戏中的合作行为。在后者中,参与者可以在每次社交互动后断开其链接。如预期的那样,我们发现动态网络中的合作水平更高。通过有偏见的链接断开(即叛逃者),参与者影响了他们的社交环境。我们表明这种断开链接的行为会导致大量的网络集群,并且我们在这些集群中发现主要合作者。这种分类之所以引人注目,是因为它通过直接的对等发生在行为分类之上,并且超出了参与者的感知范围,并且代表了一种自组织的模式。我们的结果突出了生态环境与合作选择性压力之间相互作用的重要性。

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