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具有集体声誉的公共物品博弈中的间接互惠。

Indirect reciprocity in the public goods game with collective reputations.

作者信息

Wei Ming, Wang Xin, Liu Longzhao, Zheng Hongwei, Jiang Yishen, Hao Yajing, Zheng Zhiming, Fu Feng, Tang Shaoting

机构信息

School of Mathematical Sciences, Beihang University, Beijing, People's Republic of China.

LMIB, NLSDE, Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University, Beijing, People's Republic of China.

出版信息

J R Soc Interface. 2025 Apr;22(225):20240827. doi: 10.1098/rsif.2024.0827. Epub 2025 Apr 2.

Abstract

Indirect reciprocity unveils how social cooperation is founded upon moral systems. Within the frame of dyadic games based on individual reputations, the 'leading-eight' strategies distinguish themselves in promoting and sustaining cooperation. However, in real-world societies, there are widespread interactions at the group level, where individuals need to make a singular action choice when facing multiple individuals with different reputations. Here, through introducing the assessment of collective reputations, we develop a framework that embeds group-level reputation structure into public goods games to study the evolution of group-level indirect reciprocity. We show that changing the criteria of group assessment destabilizes the reputation dynamics of leading-eight strategies. In a particular range of social assessment criteria, all leading-eight strategies can break the social dilemma in public goods games and sustain cooperation. Specifically, there exists an optimal, moderately set assessment criterion that is most conducive to promoting cooperation. Moreover, in the evolution of assessment criteria, the preference of the leading-eight strategies for social strictness is inversely correlated with the payoff level. Our work reveals the impact of social strictness on prosocial behaviour, highlighting the importance of group-level interactions in the analysis of evolutionary games and complex social dynamics.

摘要

间接互惠揭示了社会合作是如何建立在道德体系之上的。在基于个人声誉的二元博弈框架内,“八大”策略在促进和维持合作方面脱颖而出。然而,在现实世界的社会中,群体层面存在广泛的互动,个体在面对多个具有不同声誉的个体时需要做出单一的行动选择。在这里,通过引入集体声誉评估,我们开发了一个框架,将群体层面的声誉结构嵌入到公共物品博弈中,以研究群体层面间接互惠的演变。我们表明,改变群体评估标准会破坏“八大”策略的声誉动态。在特定范围的社会评估标准下,所有“八大”策略都可以打破公共物品博弈中的社会困境并维持合作。具体而言,存在一个最优的、适度设定的评估标准,最有利于促进合作。此外,在评估标准的演变过程中,“八大”策略对社会严格程度的偏好与收益水平呈负相关。我们的工作揭示了社会严格程度对亲社会行为的影响,突出了群体层面互动在进化博弈和复杂社会动态分析中的重要性。

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