合作与Q学习的演变:信息感知的影响
Guozhong Zheng1, Zhenwei Ding2,3, Jiqiang Zhang2
1School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710061, People's Republic of China.
Chaos (Woodbury, N.Y.)
|May 8, 2025
概括
信息感知对囚犯困境游戏中的合作演变产生重大影响. 不对称的信息揭示了复杂的动态,对于理解人类稳定的合作至关重要.
科学领域:
- 人工智能的人工智能
- 游戏理论 游戏理论
- 社会心理学 社会心理学
背景情况:
- 人类的决策是复杂的,但合作研究往往假定相同的信息访问.
- 现实世界的场景涉及不同的个人感知,影响合作行为.
研究的目的:
- 研究信息感知如何影响合作的演变.
- 在囚犯困境游戏中使用Q学习算法来模拟这些效应.
主要方法:
- 使用了Q学习算法,一种强化学习技术.
- 在三个不同的信息感知场景下模拟了两人囚犯的困境游戏.
主要成果:
- 进化合作的动态在信息场景之间有很大差异.
- 不对称的信息场景表现出合作出现,崩和重建的复杂循环.
- 这些动态反映了人类行为中观察到的心理变化.
结论:
- 信息结构是合作的出现和稳定的关键因素.
- 调查结果为建立稳定的合作关系提供了洞察力,特别是在信息不完整的场景中.
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