协商社会最佳资源分配
Negotiating Socially Optimal Allocations of Resources
摘要：
一个多智能体系统可以被认为是一个自治软件代理人的人工社会，我们可以应用从福利经济学和社会选择理论借用的概念来评估这样一个代理人社会的社会福利。在本文中，我们研究了一个抽象的谈判框架，代理人可以同意多边交易交换不可分割的资源束。然后，我们分析了这些交易如何影响社会福利的基本框架和不同的情况下，对社会福利概念本身的不同解释。特别是，我们展示了某些类别的交易是如何充分和必要的，以保证最终达到社会最优的资源配置。
英文摘要：
A multiagent system may be thought of as an artificial society of autonomous software agents and we can apply concepts borrowed from welfare economics and social choice theory to assess the social welfare of such an agent society. In this paper, we study an abstract negotiation framework where agents can agree on multilateral deals to exchange bundles of indivisible resources. We then analyse how these deals affect social welfare for different instances of the basic framework and different interpretations of the concept of social welfare itself. In particular, we show how certain classes of deals are both sufficient and necessary to guarantee that a socially optimal allocation of resources will be reached eventually.
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。
