Verifying Proportionality in Temporal Voting

Edith Elkind, Svetlana Obraztsova, Nicholas Teh

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

We study a model of multiwinner voting where candidates are selected sequentially in rounds over a time horizon. Prior work has adapted popular notions of justified representation as well as voting rules that provide strong representation guarantees from the standard single-round multiwinner election case to the temporal setting. In our work, we focus on the complexity of verifying whether a given outcome is proportional. We show that the temporal setting is strictly harder than the standard single-round model of multiwinner voting, but identify natural special cases that enable efficient verification.

Original languageEnglish (US)
Pages (from-to)2246-2248
Number of pages3
JournalProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume2024-May
StatePublished - 2024
Event23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024 - Auckland, New Zealand
Duration: May 6 2024May 10 2024

Funding

This work was supported by the AI Programme of The Alan Turing Institute.

Keywords

  • Computational Social Choice
  • Proportionality
  • Temporal Voting

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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