...
首页> 外文期刊>Annals of Mathematics and Artificial Intelligence >A survey of approximability and inapproximability results for social welfare optimization in multiagent resource allocation
【24h】

A survey of approximability and inapproximability results for social welfare optimization in multiagent resource allocation

机译:多主体资源分配中社会福利优化的可逼近性和不可逼近性结果调查

获取原文
获取原文并翻译 | 示例
           

摘要

Multiagent resource allocation provides mechanisms to allocate bundles of resources to agents, where resources are assumed to be indivisible and nonshareable. A central goal is to maximize social welfare of such allocations, which can be measured in terms of the sum of utilities realized by the agents (utilitarian social welfare), in terms of their minimum (egalitarian social welfare), and in terms of their product (Nash product social welfare). Unfortunately, social welfare optimization is a computationally intractable task in many settings. We survey recent approximability and inapproximability results on social welfare optimization in multiagent resource allocation, focusing on the two most central representation forms for utility functions of agents, the bundle form and the k-additive form. In addition, we provide some new (in)approximability results on maximizing egalitarian social welfare and social welfare with respect to the Nash product when restricted to certain special cases.
机译:多代理程序资源分配提供了将资源束分配给代理程序的机制,其中假定资源是不可分割且不可共享的。一个中心目标是使此类分配的社会福利最大化,这可以根据代理人实现的效用之和(功利主义社会福利),其最小值(平等社会福利)及其产品来衡量。 (纳什产品社会福利)。不幸的是,在许多情况下,优化社会福利是一项在计算上难以执行的任务。我们调查了多主体资源分配中社会福利优化的最新近似性和不可近似性,重点研究了主体效用函数的两种最主要的表示形式,即捆绑形式和k可加形式。此外,当限于某些特殊情况时,我们提供了一些新的(近似)可近似性结果,可最大限度地提高纳什产品的平均社会福利和社会福利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号