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On the distortion of single winner elections with aligned candidates

Published: 01 October 2022 Publication History

Abstract

We study the problem of selecting a single element from a set of candidates on which a group of agents has some spatial preferences. The exact distances between agent and candidate locations are unknown but we know how agents rank the candidates from the closest to the farthest. Whether it is desirable or undesirable, the winning candidate should either minimize or maximize its aggregate distance to the agents. The goal is to understand the optimal distortion, which evaluates how good an algorithm that determines the winner based only on the agent rankings performs against the optimal solution. We give a characterization of the distortion in the case of latent Euclidean distances such that the candidates are aligned, but the agent locations are not constrained. This setting generalizes the well-studied setting where both agents and candidates are located on the real line. Our bounds on the distortion are expressed with a parameter which relates, for every agent, the distance to her best candidate to the distance to any other alternative.

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  • (2023)On the Distortion of Single Winner Elections with Aligned CandidatesProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems10.5555/3545946.3598791(1409-1411)Online publication date: 30-May-2023

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Published In

cover image Autonomous Agents and Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems  Volume 36, Issue 2
Oct 2022
919 pages

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 October 2022
Accepted: 25 May 2022

Author Tags

  1. Distortion
  2. Single winner election
  3. Obnoxious facility

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  • (2023)On the Distortion of Single Winner Elections with Aligned CandidatesProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems10.5555/3545946.3598791(1409-1411)Online publication date: 30-May-2023

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