混合策略方法使有限种群中的合作不稳定,并具有集群系数
Zehua Si1, Zhixue He1,2, Chen Shen3
1Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan.
Chaos (Woodbury, N.Y.)
|May 15, 2024
概括
进化游戏理论揭示了网络聚类会影响合作. 混合和连续策略在集群网络中显示出更多的合作变化,与离散策略不同.
科学领域:
- 进化游戏理论 进化游戏理论
- 网络科学 网络科学
- 计算社会科学 计算社会科学
背景情况:
- 合作动态在社会和生物系统中至关重要.
- 进化游戏理论中的离散,连续和混合策略会以不同的方式影响合作.
- 网络结构对这些战略差异的影响仍然不清楚.
研究的目的:
- 调查离散,连续和混合策略如何影响囚犯困境游戏中的合作.
- 分析网络集群系数在调节这些效应中的作用.
- 澄清不同战略之间不同级别的合作背后的原因.
主要方法:
- 囚犯困境游戏的模拟在具有不同集群系数的网络上.
- 在离散,连续和混合战略下,合作演变的比较.
- 分析与网络拓学相关的策略可变性和稳定性.
主要成果:
- 合作水平在离散,连续和混合战略之间有所不同,受网络集群的影响.
- 混合策略在非零集群网络中表现出最高的合作变异性,其次是连续,然后是离散.
- 在零集群的网络中,合作的变化性会减少,从而减少基于战略的差异.
结论:
- 网络集群对跨不同战略方法的合作演变产生重大影响.
- 在现实的集群网络中,由于战略诱导的不可预测性,合作系统的稳定性可能会降低.
- 了解对网络拓学的策略特定响应是预测合作动态的关键.
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