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AI researchers solve NP-hard Thiele rules computation for interval elections

Researchers have developed a new algorithm for computing Thiele rules in social choice theory, specifically addressing the voter interval (VI) domain which was previously an open question. The algorithm leverages a linear program that, despite not having a totally unimodular matrix, guarantees an integral solution. This technique is extended to the voter-candidate interval (VCI) and linearly consistent (LC) domains, with new insights into their relationship and definitions. AI

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RANK_REASON Academic paper presenting a new algorithm and theoretical results in social choice theory. [lever_c_demoted from research: ic=1 ai=0.4]

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COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Dimitris Avramidis, Alexandra Lassota, Ulrike Schmidt-Kraepelin, Adrian Vetta ·

    Computing Thiele Rules on Interval Elections and their Generalizations

    arXiv:2605.03067v1 Announce Type: new Abstract: Approval-based committee voting has received significant attention in the social choice community. Among the studied rules, Thiele rules, and especially Proportional Approval Voting (PAV), stand out for desirable properties such as …