Abstract
We study two-stage committee elections where voters have dynamic preferences over candidates; at each stage, a committee is chosen under a given voting rule. We are interested in identifying a winning committee for the second stage that overlaps as much as possible with the first-stage committee. We show a full complexity dichotomy for the class of Thiele rules: this problem is tractable for Approval Voting (AV) and hard for all other Thiele rules (including, in particular, Proportional Approval Voting and the Chamberlin-Courant rule). We extend this dichotomy to the greedy variants of Thiele rules. We also explore this problem from a parameterized complexity perspective for several natural parameters. We complement the theory with experimental analysis: e.g., we investigate the average number of changes in the committee as a function of changes in voters’ preferences and the role of ties.
Original language | English (US) |
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Title of host publication | ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings |
Editors | Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto Bugarin-Diz, Jose M. Alonso-Moral, Senen Barro, Fredrik Heintz |
Publisher | IOS Press BV |
Pages | 3236-3243 |
Number of pages | 8 |
ISBN (Electronic) | 9781643685489 |
DOIs | |
State | Published - Oct 16 2024 |
Event | 27th European Conference on Artificial Intelligence, ECAI 2024 - Santiago de Compostela, Spain Duration: Oct 19 2024 → Oct 24 2024 |
Publication series
Name | Frontiers in Artificial Intelligence and Applications |
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Volume | 392 |
ISSN (Print) | 0922-6389 |
ISSN (Electronic) | 1879-8314 |
Conference
Conference | 27th European Conference on Artificial Intelligence, ECAI 2024 |
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Country/Territory | Spain |
City | Santiago de Compostela |
Period | 10/19/24 → 10/24/24 |
Funding
NB was supported by the DFG project ComSoc-MPMS (NI 369/22). EE was supported by the AI Programme of The Alan Turing Institute and an EPSRC Grant EP/X038548/1.
ASJC Scopus subject areas
- Artificial Intelligence