Verifying Proportionality in Temporal Voting

Fuente: arXiv
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Main Authors: Elkind, Edith, Obraztsova, Svetlana, Peters, Jannik, Teh, Nicholas
Format: Preprint
Published: 2025
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author Elkind, Edith
Obraztsova, Svetlana
Peters, Jannik
Teh, Nicholas
author_facet Elkind, Edith
Obraztsova, Svetlana
Peters, Jannik
Teh, Nicholas
contents We study a model of temporal voting where there is a fixed time horizon, and at each round the voters report their preferences over the available candidates and a single candidate is selected. Prior work has adapted popular notions of justified representation as well as voting rules that provide strong representation guarantees from the multiwinner election setting to this model. In our work, we focus on the complexity of verifying whether a given outcome offers proportional representation. We show that in the temporal setting verification is strictly harder than in multiwinner voting, but identify natural special cases that enable efficient algorithms.
format Preprint
id arxiv_https___arxiv_org_abs_2502_05949
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Verifying Proportionality in Temporal Voting
Elkind, Edith
Obraztsova, Svetlana
Peters, Jannik
Teh, Nicholas
Computer Science and Game Theory
Artificial Intelligence
We study a model of temporal voting where there is a fixed time horizon, and at each round the voters report their preferences over the available candidates and a single candidate is selected. Prior work has adapted popular notions of justified representation as well as voting rules that provide strong representation guarantees from the multiwinner election setting to this model. In our work, we focus on the complexity of verifying whether a given outcome offers proportional representation. We show that in the temporal setting verification is strictly harder than in multiwinner voting, but identify natural special cases that enable efficient algorithms.
title Verifying Proportionality in Temporal Voting
topic Computer Science and Game Theory
Artificial Intelligence
url https://arxiv.org/abs/2502.05949