@inproceedings{0c10ed10a23b4c4584589d01088d2e85,
title = "Favorite-candidate voting for eliminating the least popular candidate in a metric space",
abstract = "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.",
keywords = "Distortion, Social Choice, Voting",
author = "Xujin Chen and Minming Li and Chenhao Wang",
note = "Publisher Copyright: Copyright {\textcopyright} 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 34th AAAI Conference on Artificial Intelligence, AAAI 2020 ; Conference date: 07-02-2020 Through 12-02-2020",
year = "2020",
language = "英语",
series = "AAAI 2020 - 34th AAAI Conference on Artificial Intelligence",
publisher = "AAAI press",
pages = "1894--1901",
booktitle = "AAAI 2020 - 34th AAAI Conference on Artificial Intelligence",
}