Indirect Reciprocity with Contagious Reputation in Large-Scale Small-World Networks

M. Neumann
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引用次数: 4

Abstract

The question of why acts of selflessness occur in a Hobbesian self-help world has fascinated scholars for decades, if not centuries. Utilizing simulations, previous research has shown that altruism can be evolutionarily stable in small-scale societies under a narrow set of circumstances. However, when expanding such models to populations of anything larger than a few hundred people, they generally break down. In this paper, I modify the widely used image-score mechanism to include contagion-based reputation and demonstrate how altruism can survive in populations of up to 20,000. I also find that selflessness strongly depends on network topology - as heavily clustered small-world societies that resemble tight-knit family or friendship structures promote more cooperation than random networks where connections are more superficial.
大规模小世界网络中具有传染性声誉的间接互惠
为什么无私行为会出现在霍布斯式的自助世界,这个问题吸引了学者们几十年,如果不是几个世纪的话。利用模拟,先前的研究表明,利他主义可以在小规模社会中在狭窄的环境下进化稳定。然而,当将这种模型扩展到几百人以上的人群时,它们通常会失效。在本文中,我修改了广泛使用的形象评分机制,以包括基于传染的声誉,并展示了利他主义如何在多达20,000的群体中生存。我还发现,无私在很大程度上依赖于网络拓扑结构,因为密集聚集的小世界社会类似于紧密结合的家庭或友谊结构,比联系更肤浅的随机网络促进了更多的合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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