以价值为导向的社会学习对在囚犯困境游戏中的合作的影响
Haojie Xu1, Hongshuai Wu1, Changwei Huang1,2
1School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China.
Chaos (Woodbury, N.Y.)
|December 2, 2024
概括
这项研究探讨了个人和社会学习如何影响进化游戏中的合作. 适度的社会学习和特定的密度大大提高了合作,揭示了集体行为的平衡.
科学领域:
- 进化游戏理论 进化游戏理论
- 基于代理的建模模型
- 计算社会科学 计算社会科学
背景情况:
- 关于进化游戏中个人和社会学习者的综合影响的研究有限.
- 基于Q学习的战略更新越来越多地研究其对合作演变的影响.
研究的目的:
- 提出和分析一种以价值为导向的社会学习模型,其中包含激进主义/保守主义参数 (β).
- 研究社会学习激进主义 (β),密度 (ρ) 和困境强度 (b) 对进化游戏中的合作的影响.
主要方法:
- 基于代理的模拟使用囚犯的困境游戏在一个方格格子.
- 引入一个形状参数 (β) 来量化社会学习趋势.
- 对合作级别和参数β, ρ和 b之间的非微不足道依赖关系的分析.
主要成果:
- 合作水平与社会学习激进 (β) 和密度 (ρ) 呈现非单调的关系.
- 在社会学习中适度的激进主义显著提高了合作.
- 一个有利的合作地区出现,社会学习略有保守,密度适当.
结论:
- 社会学习者对于建立网络互惠至关重要,而个人学习者则表现出双重的支持和利用角色.
- 个人和社会学习之间的关键平衡是必要的,以最大限度地促进合作.
- 这些发现提供了对多代理系统中集体行为动态的见解.
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