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从风险的角度来看,在复杂网络中与动态不对称评估进行合作
Yunya Xie1, Wei Han2, Jiaxin Qi3
1School of Management Science and Engineering, Tianjin University of Finance and Economics, Tianjin 300222, China.
在策略选择中的个人非理性,由背叛风险驱动,令人惊地促进了合作. 风险敏感性和网络结构显著影响这种合作行为,为群体动态提供了洞察力.
科学领域:
- 进化游戏理论 进化游戏理论
- 行为经济学是一种行为经济学.
- 网络科学 网络科学
背景情况:
- 战略选择涉及背叛的风险,导致影响合作的非理性倾向.
- 连接风险感知和合作的确切机制尚不清楚.
研究的目的:
- 在复杂网络上扩展经典的进化游戏模型,以了解风险感知和合作.
- 研究策略模仿和回报评估之间的相互作用,考虑动态调整和非理性评估.
主要方法:
- 复杂网络上的扩展进化游戏模型.
- 在模仿性参考点选择和不对称的心理实用性中内置的概率扭曲.
- 利用蒙特卡洛模拟来分析新出现的合作.
主要成果:
- 个人非理性认知,由策略选择风险诱导,促进合作行为.
- 心理效用中的风险敏感性显著缓和了合作.
- 网络拓 (异质性,集群) 和初始状态影响合作的出现.
结论:
- 不理性的认知可以促进在危险环境中的合作.
- 网络结构和个人的风险敏感性是规范集团合作的关键因素.
- 结果为管理非理性代理人在危险情况下的合作提供了洞察力.
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