在重复的游戏中坚持鼓励恶意的进化
1School of Knowledge Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan.
Theoretical population biology
|June 1, 2024
概括
在重复的社会互动中,当关于对手的信息被自然选择所偏爱时,持久的策略会受到自然选择的青.
科学领域:
- 进化游戏理论 进化游戏理论
- 行为生态学 行为生态学
- 社会进化社会进化
背景情况:
- 诸如利他主义和恶意之类的社会行为,由于演员成本,造成了进化难题.
- 重复的互动可以有利于有条件的策略,影响社会行为的演变.
- 关于对手行动的信息可用性对于在社会困境中选择战略至关重要.
研究的目的:
- 在没有对手信息的反复互动中调查恶意策略的演变.
- 在不同的信息条件下比较利他主义和恶意的进化动态.
- 为了确定在没有对手行动数据的情况下,是否支持持久策略.
主要方法:
- 用社会行为对重复的游戏模型进行分析.
- 条件和持久策略的数学建模.
- 利他主义和恶意策略进化的比较研究.
主要成果:
- 报复策略演变为反复的利他主义/自私游戏.
- 反报复策略演变为反复的反抗/互惠主义游戏.
- 持久的恶意策略在对手的行动未知时受到自然选择的青,反映了利他主义的发现.
结论:
- 条件策略取决于特定的社会行为和可用的信息.
- 持久的策略为利他主义提供了强大的进化解决方案,当对手的行为没有被观察到时,利他主义和恶意.
- 自然选择有利于在缺乏完整信息的社会互动中持久的行为.
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