基于声誉阈值的宽容惩罚空间公共物品博弈中的合作演化。

IF 2.7 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2025-01-01 DOI:10.1063/5.0250120
Gui Zhang, Yichao Yao, Ziyan Zeng, Minyu Feng, Manuel Chica
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引用次数: 0

摘要

在人类社会中,声誉和惩罚是规范个人行为的重要准则,声誉好的人更容易被他人模仿。此外,社会会对损害不同声誉群体利益的行为施加不同程度的惩罚。然而,传统的成对互动规则和惩罚机制忽略了这一点。基于这一观察,本文从两个关键方面对空间公共物品博弈进行了改进:(1)我们设定了声誉阈值,并利用惩罚来调节低声誉群体中博弈者的叛逃行为,同时允许高声誉博弈群体中的叛逃行为。(2)与成对互动规则不同,我们将声誉和报酬结合起来作为个体的适应度,以确保高报酬和高声誉的博弈者有更高的机会被模仿。通过模拟,我们发现较高的声誉阈值与严格的惩罚环境相结合,可以大大提高种群内的合作水平。这一机制让我们对个体间出现的普遍合作现象有了更深入的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The evolution of cooperation in spatial public goods game with tolerant punishment based on reputation threshold.

Reputation and punishment are significant guidelines for regulating individual behavior in human society, and those with a good reputation are more likely to be imitated by others. In addition, society imposes varying degrees of punishment for behaviors that harm the interests of groups with different reputations. However, conventional pairwise interaction rules and the punishment mechanism overlook this aspect. Building on this observation, this paper enhances a spatial public goods game in two key ways: (1) We set a reputation threshold and use punishment to regulate the defection behavior of players in low-reputation groups while allowing defection behavior in high-reputation game groups. (2) Differently from pairwise interaction rules, we combine reputation and payoff as the fitness of individuals to ensure that players with both high payoff and reputation have a higher chance of being imitated. Through simulations, we find that a higher reputation threshold, combined with a stringent punishment environment, can substantially enhance the level of cooperation within the population. This mechanism provides deeper insight into the widespread phenomenon of cooperation that emerges among individuals.

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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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