局部财富再分配促进多智能体系统的合作
Local Wealth Redistribution Promotes Cooperation in Multiagent Systems
摘要：
在多智能体系统中，设计能够利用智能体之间协作的机制一直是一个长期的目标。当代理人自私，缺乏共同目标并面临社会困境时，这项任务尤其具有挑战性，即，个人利益与社会福利冲突的情况。过去的研究探索了解释生物和社会系统中合作的机制，为设计合作的人工社会提供了重要线索。特别是，一些作品表明，合作是能够出现时，特定的网络结构的代理人的相互作用。尽管如此，叛逃具有很大诱惑力的社会困境仍然对合作的有效可持续性构成挑战。在这里，我们提出了一个新的再分配机制，可以应用于结构化人口的代理。重要的是，我们表明，当在本地实施时（即，代理人与他们最近的邻居分享他们财富盈余的一小部分），再分配在促进合作方面表现出色，在以前，只有背叛盛行的政权下。
英文摘要：
Designing mechanisms that leverage cooperation between agents has been a long-lasting goal in Multiagent Systems. The task is especially challenging when agents are selfish, lack common goals and face social dilemmas, i.e., situations in which individual interest conflicts with social welfare. Past works explored mechanisms that explain cooperation in biological and social systems, providing important clues for the aim of designing cooperative artificial societies. In particular, several works show that cooperation is able to emerge when specific network structures underlie agents' interactions. Notwithstanding, social dilemmas in which defection is highly tempting still pose challenges concerning the effective sustainability of cooperation. Here we propose a new redistribution mechanism that can be applied in structured populations of agents. Importantly, we show that, when implemented locally (i.e., agents share a fraction of their wealth surplus with their nearest neighbors), redistribution excels in promoting cooperation under regimes where, before, only defection prevailed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
