Abstract
We introduce a multi-winner reconfiguration model to examine how to transition between two subsets of alternatives (aka. committees) through a sequence of minor yet impactful modifications, called reconfiguration path. We analyze this model under four approval-based voting rules: Chamberlin-Courant (CC), Proportional Approval Voting (PAV), Approval Voting (AV), and Satisfaction Approval Voting (SAV). The problem exhibits computational intractability for CC and PAV, and polynomial solvability for AV and SAV. We provide a detailed multivariate complexity analysis for CC and PAV, demonstrating that although the problem remains challenging in many scenarios, there are specific cases that allow for efficient parameterized algorithms.
| Original language | English |
|---|---|
| Journal | Advances in Neural Information Processing Systems |
| Volume | 37 |
| State | Published - 1 Jan 2024 |
| Externally published | Yes |
| Event | 38th Conference on Neural Information Processing Systems, NeurIPS 2024 - Vancouver, Canada Duration: 9 Dec 2024 → 15 Dec 2024 |
ASJC Scopus subject areas
- Signal Processing
- Information Systems
- Computer Networks and Communications
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