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基于学习成本的两阶段战略更新规则在弱囚犯困境中的学习成本
Liyan Gao1,2, Qiuhui Pan1,3, Mingfeng He1,3
1School of Mathematical Science, Dalian University of Technology, Dalian 116024, China.
Chaos (Woodbury, N.Y.)
|July 23, 2024
概括
玩家在不满意时学习邻居策略. 引入学习成本和调整更新策略的意愿,可以促进进化游戏中的合作,特别是在结构化的群体中.
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.
- 计算社会科学 计算社会科学
背景情况:
- 玩家对回报不满,可能会模仿邻居的策略.
- 学习的成功往往与投入的努力成正比.
- 战略更新可能涉及成本,影响玩家的决策.
研究的目的:
- 提出一个两阶段的战略更新规则,将学习成本纳入其中.
- 调查学习成本和更新意愿如何影响合作.
- 分析这些动态,无论是混合和结构化的群体.
主要方法:
- 基于代理的建模模拟战略更新.
- 对学习成本的两阶段更新规则的分析.
- 对同质和异质更新意愿的检查.
主要成果:
- 在混合群体中,愿意减少或成本增加会延长合作的时间.
- 具有更高愿望/成本的异质意愿促进了合作.
- 在结构化的群体中,适度的成本有利于合作者;意愿降低扩大了合作参数.
结论:
- 付费策略的学习动态是复杂的,受学习成本和更新意愿的影响.
- 合作可以通过学习成本的战略调整和更新意愿来促进合作.
- 这些发现有助于理解进化游戏理论中的合作.
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