新兴资源交换和容忍的盗窃行为使用多代理强化学习学习
1Brandeis University, Department of Computer Science. garbus@brandeis.edu.
Artificial life
|January 22, 2024
概括
采集食物环境中的代理人使用野火开发了一种新的资源交换协议. 他们学会了避免直接作弊,但表现出被容忍的盗窃行为,没有明确的惩罚机制.
科学领域:
- 进化游戏理论的演化游戏理论.
- 基于代理人的建模.
- 行为经济学是一种行为经济学.
背景情况:
- 合作的演变是跨多个学科的一个基本问题.
- 以前的模型往往缺乏在资源交换中出现的社会行为机制.
- 了解合作需要探索有利于复杂互动的环境.
研究的目的:
- 在模拟的食环境中研究一种新型资源交换协议的出现.
- 检查代理人如何学习合作,避免被剥削.
- 在没有直接执行的情况下,观察社会行为的发展,例如容忍盗窃.
主要方法:
- 基于代理的营养环境模拟与资源交换.
- 引入"营火"机制,以增加代理人会众和互动时间.
- 分析代理人对资源投放和采集的策略,以及检测作弊.
主要成果:
- 一个新的和有效的资源交换协议自发地出现了.
- 代理商学会了避免交换伙伴直接作弊.
- 观察到类似于被容忍的盗窃行为,即使没有明确的惩罚或冲突机制.
- 避免第三方作弊并非始终被学习.
结论:
- 营火机制可以促进复杂的合作和资源交换协议的演变.
- 像容忍盗窃这样的新兴行为可以在没有直接执行的基于代理的系统中出现.
- 模拟环境可以揭示对社会行为和合作演变的新见解.
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