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间接互惠和任意探索率下的合作进化。

Evolution of cooperation under indirect reciprocity and arbitrary exploration rates.

机构信息

INESC-ID and Instituto Superior Técnico, Universidade de Lisboa, IST-Taguspark, 2744-016 Porto Salvo, Portugal.

ATP-group, P-2744-016 Porto Salvo, Portugal.

出版信息

Sci Rep. 2016 Nov 28;6:37517. doi: 10.1038/srep37517.

Abstract

Cooperation has been recognized as an evolutionary puzzle since Darwin, and remains identified as one of the biggest challenges of the XXIst century. Indirect Reciprocity (IR), a key mechanism that humans employ to cooperate with each other, establishes that individual behaviour depends on reputations, which in turn evolve depending on social norms that classify behaviours as good or bad. While it is well known that different social norms give rise to distinct cooperation levels, it remains unclear how the performance of each norm is influenced by the random exploration of new behaviours, often a key component of social dynamics where a plethora of stimuli may compel individuals to deviate from pre-defined behaviours. Here we study, for the first time, the impact of varying degrees of exploration rates - the likelihood of spontaneously adopting another strategy, akin to a mutation probability in evolutionary dynamics - in the emergence of cooperation under IR. We show that high exploration rates may either improve or harm cooperation, depending on the underlying social norm at work. Regarding some of the most popular social norms studied to date, we find that cooperation under Simple-standing and Image-score is enhanced by high exploration rates, whereas the opposite occurs for Stern-judging and Shunning.

摘要

合作自从达尔文以来一直被认为是一个进化难题,并且仍然被认为是 21 世纪最大的挑战之一。间接互惠(IR)是人类相互合作所采用的关键机制,它确立了个体行为取决于声誉,而声誉又取决于将行为归类为好或坏的社会规范。虽然众所周知,不同的社会规范会导致不同程度的合作,但目前尚不清楚每种规范的表现如何受到新行为的随机探索的影响,而这种探索通常是社会动态的一个关键组成部分,在这种动态中,大量的刺激可能迫使个体偏离预先定义的行为。在这里,我们首次研究了在 IR 下合作的出现中,探索率(即自发采用另一种策略的可能性,类似于进化动力学中的突变概率)的不同程度的影响。我们表明,探索率的高低可能会改善或损害合作,具体取决于所采用的社会规范。对于迄今为止研究过的一些最受欢迎的社会规范,我们发现 Simple-standing 和 Image-score 下的合作会因高探索率而增强,而 Stern-judging 和 Shunning 则相反。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1539/5124964/13ea248ce7df/srep37517-f1.jpg

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