AAAI 2025technical6 citations
Verifying Proportionality in Temporal Voting
Edith Elkind, Svetlana Obraztsova, Jannik Peters, Nicholas Teh
Abstract
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.
BibTeX
@article{Elkind_Obraztsova_Peters_Teh_2025, title={Verifying Proportionality in Temporal Voting}, volume={39}, url={https://ojs.aaai.org/index.php/AAAI/article/view/33509}, DOI={10.1609/aaai.v39i13.33509}, abstractNote={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.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Elkind, Edith and Obraztsova, Svetlana and Peters, Jannik and Teh, Nicholas}, year={2025}, month={Apr.}, pages={13805-13813} }