超理性的愿望在不对称的游戏中促进合作,同行退出惩罚和奖励
Si-Yi Wang1, Xin Yao1, Yi-Mei Yang2
1School of Modern Posts, Xi'an University of Posts & Telecommunications, Xi'an, Shaanxi, 710061, China.
Heliyon
|June 22, 2023
概括
这项研究探讨了进化合作的动态,引入了同行实施的退出回报. 不对称性和超理性增强了玩家的参与,并促进了在囚犯困境游戏中的合作.
科学领域:
- 进化游戏理论 进化游戏理论
- 计算社会科学 计算社会科学
- 行为经济学是一种行为经济学.
背景情况:
- 以前的战略更新与退出权的模式假设自动分配回报,这是不现实的.
- 现实世界的场景涉及更复杂的,经常受到同行影响的退出回报机制.
研究的目的:
- 在一个不对称的囚犯困境游戏中调查进化合作动态.
- 分析超理性的愿望和同行实施的退出回报对合作的影响.
- 检查系统不对称性如何影响玩家参与和合作演变.
主要方法:
- 基于代理模型的囚犯困境游戏.
- 纳入基于超理性的愿望的战略更新.
- 实施不对称的回报和同行决定的退出回报.
- 对各种人口结构和退出回报水平进行分析.
主要成果:
- 系统不对称性始终在不同的人口结构中促进玩家参与.
- 超理性的愿望和不对称性有利于合作的演变.
- 同行实施的退出回报为研究合作动态提供了更现实的框架.
结论:
- 不对称的囚犯困境游戏与超理性的愿望和同行实施的退出回报促进合作.
- 这些发现挑战了关于自动退出回报分配的先前假设.
- 这项研究提供了关于复杂社会结构中合作的演变的见解.
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