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arXiv 1806.08057cs.GT
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带距离惩罚的两设施对置对策的机制设计

Mechanism Design for Two-Opposite-Facility Location Games with Penalties on Distance

Xujin Chen, Xiaodong Hu, Xiaohua Jia, Minming Li, Zhongzheng Tang, Chenhao Wang

摘要:

研究了两个设施相对的选址博弈,惩罚的大小取决于两个设施之间的距离。这两个设施是“相反”的,一个是受欢迎的,另一个是令人讨厌的。在博弈中,每个自私的主体都希望靠近受欢迎的设施,远离令人讨厌的设施;它的效用由它到令人讨厌的设施和受欢迎的设施的距离之差来衡量。管理机构确定所有代理所在的线段上两个设施的位置。每个代理都有自己的位置信息作为私有的,并被要求向当局报告其位置。使用报告的代理位置作为输入,由管理机构运行的算法机制输出两个设施的位置,目的是最大化某些社会福利。总和型社会福利考虑的是所有智能体的惩罚总效用,为此我们设计了具有可证明近似比的随机和确定性群体防策略机制,并建立了任何确定性防策略机制近似比的下界.针对Schereck型社会福利问题,提出了一种确定性的群体防策略机制,以保证最优性。

英文摘要:

This paper is devoted to the two-opposite-facility location games with a penalty whose amount depends on the distance between the two facilities to be opened by an authority. The two facilities are "opposite" in that one is popular and the other is obnoxious. Every selfish agent in the game wishes to stay close to the popular facility and stay away from the obnoxious one; its utility is measured by the difference between its distances to the obnoxious facility and the popular one. The authority determines the locations of the two facilities on a line segment where all agents are located. Each agent has its location information as private, and is required to report its location to the authority. Using the reported agent locations as input, an algorithmic mechanism run by the authority outputs the locations of the two facilities with an aim to maximize certain social welfare. The sum-type social welfare concerns with the penalized total utility of all agents, for which we design both randomized and deterministic group strategy-proof mechanisms with provable approximation ratios, and establish a lower bound on the approximation ratio of any deterministic strategy-proof mechanism. The bottleneck-type social welfare concerns with the penalized minimum utility among all agents, for which we propose a deterministic group strategy-proof mechanism that ensures optimality.

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。

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