跳到主要导航 跳到搜索 跳到主要内容

Favorite-candidate voting for eliminating the least popular candidate in a metric space

  • Xujin Chen
  • , Minming Li
  • , Chenhao Wang*
  • *此作品的通讯作者
  • Chinese Academy of Sciences
  • University of Chinese Academy of Sciences
  • City University of Hong Kong

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

We study single-candidate voting embedded in a metric space, where both voters and candidates are points in the space, and the distances between voters and candidates specify the voters' preferences over candidates. In the voting, each voter is asked to submit her favorite candidate. Given the collection of favorite candidates, a mechanism for eliminating the least popular candidate finds a committee containing all candidates but the one to be eliminated. Each committee is associated with a social value that is the sum of the costs (utilities) it imposes (provides) to the voters. We design mechanisms for finding a committee to optimize the social value. We measure the quality of a mechanism by its distortion, defined as the worst-case ratio between the social value of the committee found by the mechanism and the optimal one. We establish new upper and lower bounds on the distortion of mechanisms in this single-candidate voting, for both general metrics and well-motivated special cases.

源语言英语
主期刊名AAAI 2020 - 34th AAAI Conference on Artificial Intelligence
出版商AAAI press
1894-1901
页数8
ISBN(电子版)9781577358350
出版状态已出版 - 2020
已对外发布
活动34th AAAI Conference on Artificial Intelligence, AAAI 2020 - New York, 美国
期限: 7 2月 202012 2月 2020

出版系列

姓名AAAI 2020 - 34th AAAI Conference on Artificial Intelligence

会议

会议34th AAAI Conference on Artificial Intelligence, AAAI 2020
国家/地区美国
New York
时期7/02/2012/02/20

指纹

探究 'Favorite-candidate voting for eliminating the least popular candidate in a metric space' 的科研主题。它们共同构成独一无二的指纹。

引用此