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通过自主代理来促进人类-代理混合种群的合作
Hao Guo1,2, Chen Shen3, Shuyue Hu4
1School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi'an 710072, China.
iScience
|November 3, 2023
概括
合作和有缺陷的自主代理 (AAs) 在游戏类型中不同影响人类合作. 增加AA比例可能会减少人类的合作,网络结构和模仿强度是关键因素.
科学领域:
- 进化游戏理论的演化游戏理论.
- 人工智能的人工智能
- 社会困境游戏游戏 社交困境游戏
背景情况:
- 合作型人工智能有效地应对合作挑战.
- 了解人类-代理混合物种群中合作的出现至关重要.
- 进化游戏理论为研究合作动态提供了一个框架.
研究的目的:
- 调查合作和有缺陷的自主代理对社会困境游戏中人类合作的影响.
- 分析AA比例和人口结构对合作的影响.
- 探索模仿强度在人与代理混合合作中的作用.
主要方法:
- 分析人类在一次性社会困境游戏中的合作与不同比例的AA.
- 检查混合群体,对对比规则和复杂网络.
- 利用进化游戏理论原则来建模代理互动.
主要成果:
- 合作式AAs在囚犯困境中表现出有限的影响,但在猎游戏中促进合作.
- 有缺陷的AAs令人惊的是,在Snowdrift游戏中促进了合作的主导地位.
- 增加AA比例可能会导致人类合作的消失.
- 模仿力和人口结构极大地影响合作的出现.
结论:
- 自主代理对人类合作的影响取决于环境,根据游戏类型和AA战略而有所不同.
- 基于代理人的建模揭示了复杂的动态,其中增加代理人的存在可能会破坏合作.
- 网络拓和社会学习机制对于促进混合人类-人工智能系统的合作至关重要.
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