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How strategy environment and wealth shape altruistic behaviour: Cooperation rules affecting wealth distribution in dynamic networks
bioRxiv - Animal Behavior and Cognition Pub Date : 2020-11-14 , DOI: 10.1101/2020.05.05.077131
Spandan Pathak , Prateek Verma , Sumit K. Ram , Supratim Sengupta

Societies rely on individual contributions to sustain public goods that benefit the entire community. Several mechanisms, that specify how individuals change their decisions based on past experiences, have been proposed to explain how altruists are not outcompeted by selfish counterparts. A key aspect of such strategy updates involves a comparison of an individual's latest payoff with that of a random neighbour. In reality, both the economic and social milieu often shapes cooperative behavior. We propose a new decision heuristic, where the propensity of an individual to cooperate depends on the local strategy environment in which she is embedded as well as her wealth relative to that of her neighbours. Our decision-making model allows cooperation to be sustained and also explains the results of recent experiments on social dilemmas in dynamic networks. Final cooperation levels depend only on the extent to which the strategy environment influences altruistic behaviour but are largely unaffected by network restructuring. However, the extent of wealth inequality in the community is affected by a subtle interplay between the environmental influence on a person's decision to contribute and the likelihood of reshaping social ties, with wealth-inequality levels rising with increasing likelihood of network restructuring in some situations.

中文翻译:

战略环境和财富如何塑造利他行为:合作规则影响动态网络中的财富分配

社会依靠个人的贡献来维持使整个社会受益的公共物品。已经提出了几种机制,这些机制指定了个人如何根据过去的经验来改变他们的决定,以解释利他主义者如何不被自私的同行所竞争。这种策略更新的关键方面涉及将个人的最新收益与随机邻居的最新收益进行比较。实际上,经济和社会环境经常影响合作行为。我们提出了一种新的决策启发法,即个体合作的意愿取决于其所处的当地战略环境以及相对于邻居的财富。我们的决策模型不仅可以维持合作,还可以解释最近在动态网络中关于社会困境的实验结果。最终的合作水平仅取决于战略环境对利他行为的影响程度,但很大程度上不受网络重组的影响。但是,社区中财富不平等的程度受到环境影响,即个人做出贡献的决定与重塑社会纽带的可能性之间的微妙相互作用,在某些情况下,随着网络重组的可能性增加,财富不平等水平也随之上升。
更新日期:2020-11-15
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