重复的游戏与伴侣选择的选择
Christopher Graser1, Takako Fujiwara-Greve2, Julián García3
1Dana-Farber Cancer Institute, Harvard University, Boston, Massecheusetts, United States of America.
PLoS computational biology
|February 4, 2025
概括
允许个人离开不满意的伙伴关系可以大大提高在重复游戏中的合作. 这种伴侣选择机制与随机或亲属互动不同,它促进了更可靠的合作关系.
科学领域:
- 进化游戏理论的演化游戏理论.
- 行为经济学是一种行为经济学.
- 社会动态 社会动态
背景情况:
- 重复是合作演变的关键因素,特别是在重复的囚犯困境中.
- 标准模型经常假设相互作用重复的外源概率,限制了合作伙伴的选择.
研究的目的:
- 调查允许个人终止互动并选择新合作伙伴对合作演变的影响.
- 为了比较合作水平在一个模型与合作伙伴选择与标准模型和亲属选择.
主要方法:
- 模拟重复的囚犯困境,并为个人提供离开并找到新伴侣的选择.
- 在模拟中分析合作水平和合作伙伴选择动态.
主要成果:
- 引入退出选项大大提高了模拟中观察到的平均合作水平.
- 合作伙伴的选择导致了内生现象型的分类,其中合作个人与其他合作个人联系在一起.
- 这种模型比传统模型更好地解释了在重复的环境中人类的合作.
结论:
- 选择和离开合作伙伴的能力是合作演变的强大驱动力.
- 选择合作伙伴,通过选择可靠的合作伙伴,可以更有效地加强合作,而不是随机匹配或亲属选择.
- 这种机制更好地反映了现实世界的人类合作,这往往涉及选择性合作伙伴参与.
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