在具有环境反的结构化人口中促进合作
Ding Lyu1,2,3, Hanxiao Liu4,5, Chuang Deng6
1China United Network Communication Co., Ltd. Shanghai Branch, Shanghai 200082, China.
Chaos (Woodbury, N.Y.)
|December 6, 2024
概括
社交网络中的合作是通过环境反和网络结构来维持的. 增加环境效益和有利的缺陷与合作回报率促进合作,而过度的网络异质性可能会阻碍合作.
科学领域:
- 进化游戏理论 进化游戏理论
- 网络科学 网络科学
- 社会生态学 社会生态学
背景情况:
- 合作对于公共利益至关重要,但由于叛逃者获得更高的回报,因此不稳定.
- 动态变化的环境影响社会生态系统中的战略.
- 网络结构,特别是异质度,在生态进化游戏中没有得到充分研究.
研究的目的:
- 调查环境反和网络结构如何影响合作演变.
- 分析社交网络上的公共产品游戏模型,使用动态环境因素.
- 了解环境动态和网络拓之间的相互作用,以促进合作.
主要方法:
- 开发了一个包含环境反的公共产品游戏模型.
- 在社交网络上模拟模型,不同程度的异质性.
- 分析了初始环境因素的影响以及合作-增强-失败-退化比率对合作层面的影响.
主要成果:
- 较高的初始环境因素和合作增强失效降解比率显著增加了合作.
- 动态环境往往会向高回报状态发展,当比率超过一个值时.
- 合作水平随着网络异质性增加到一定程度,然后下降.
结论:
- 环境反和网络结构对于维持合作至关重要.
- 对于高回报环境而言,有利的合作效益与脱离退化效益的比率是关键.
- 为了最大限度地促进合作,网络中存在最佳的异质性;过度的异质性是有害的.
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