抑制和激活互动在网络弱囚犯困境中的互动
Yichao Yao1, Ziyan Zeng1, Bin Pi1
1College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Chaos (Woodbury, N.Y.)
|June 5, 2023
概括
这项研究模拟了软弱囚犯困境游戏中的共同进化动态. 较低的社交互动敏感性和叛逃的诱惑促进了稀疏的合作,而高度的敏感性促进了密集的合作,保护它免受叛逃.
科学领域:
- 进化游戏理论 进化游戏理论
- 网络科学 网络科学
- 计算社会科学 计算社会科学
背景情况:
- 软弱囚犯的困境是研究合作和叛逃的一个基本模型.
- 以前的研究强调了社会互动和网络结构在进化动态中的重要性.
- 了解共同进化过程对于解释社会系统中合作的持久性至关重要.
研究的目的:
- 开发一个共同进化的模型,将局部网络动态纳入静态网络框架.
- 研究社会互动的意愿和叛逃的诱惑如何影响合作的演变.
- 分析不同条件下的合作集群的形成和扩张.
主要方法:
- 在软弱囚犯的困境中,为社会互动的意愿构建了一个回报矩阵.
- 模拟网络边缘作为社会互动,随意决定边缘激活 (抑制或激活).
- 在不同级别的社会互动,敏感性和叛逃的诱惑下,模拟了合作的进化动态.
主要成果:
- 当社交互动的敏感性和叛逃的诱惑低时,稀疏的合作者集群会显著扩大.
- 在高度的社交互动敏感性下,密集的合作者集群迅速形成.
- 高度的社交互动敏感性有效地保护了合作,即使失败的诱惑很高.
结论:
- 当地网络动态在合作的发展和维持中起着至关重要的作用.
- 社会互动的意愿是调节互动和促进合作的关键机制.
- 该模型提供了关于环境因素 (敏感性,诱惑) 如何在社会困境中塑造合作战略的见解.
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