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Emergence of Cooperation in Adaptive Social Networks with Behavioral Diversity

机译:具有行为多样性自适应社交网络合作的出现

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Whether by nature or nurture, humans often respond differently when facing the same situation. Yet, the role of behavioral differences between individuals when immersed in their social network remains largely ignored in most problems of natural and social sciences. Here, we investigate how diversity in the way individuals assess their adverse social partners affects the evolution of cooperation. We resort to evolutionary game theory (EGT) to describe the dynamics of populations in which individuals interact according to an adaptive social network and may respond differently to unwanted social interactions. We show that increasing the number of ways of responding to adverse ties in the population always promotes cooperation. As such, adaptive social dynamics and behavioral differences benefit the entire community even though myopic individuals still act in their own interest. As defectors are wiped out, surviving cooperators maintain the full diversity of behavioral types, providing the means to establish cooperation as a robust evolutionary strategy.
机译:无论是本质还是培养,人类在面对同样的情况时常常反应。然而,在大多数自然和社会科学的大多数问题中,个人之间的行为差​​异的作用在很大程度上忽视了。在这里,我们调查个人评估其不利社会伙伴的方式的多样性会影响合作的演变。我们求助于进化博弈论(EGT)来描述个人根据自适应社交网络互动的人群的动态,并且可能与不受欢迎的社交互动不同。我们表明,增加人口中不利关系的方式越来越多,始终促进合作。因此,适应性社会动态和行为差异使整个社区都有利于整个社区,尽管近视个人仍然以自己的兴趣行事。随着缺陷缺失,幸存的合作社保持了行为类型的全部多样性,提供了建立合作作为强大进化策略的手段。

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