The evolution of cooperation in spatial public goods game with tolerant punishment based on reputation threshold
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866918213894275072 |
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| author | Zhang, Gui Yao, Yichao Zeng, Ziyan Feng, Minyu Chica, Manuel |
| author_facet | Zhang, Gui Yao, Yichao Zeng, Ziyan Feng, Minyu Chica, Manuel |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_17351 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The evolution of cooperation in spatial public goods game with tolerant punishment based on reputation threshold Zhang, Gui Yao, Yichao Zeng, Ziyan Feng, Minyu Chica, Manuel Social and Information Networks Physics and Society 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. |
| title | The evolution of cooperation in spatial public goods game with tolerant punishment based on reputation threshold |
| topic | Social and Information Networks Physics and Society |
| url | https://arxiv.org/abs/2412.17351 |