On coalitional manipulation for multiwinner elections: shortlisting

AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS(2021)

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摘要
Shortlisting of candidates—selecting a group of “best” candidates—is a special case of multiwinner elections. We provide the first in-depth study of the computational complexity of strategic voting for shortlisting based on the perhaps most basic voting rule in this scenario, ℓ -Bloc (every voter approves ℓ candidates). In particular, we investigate the influence of several different group evaluation functions (e.g., egalitarian versus utilitarian) and tie-breaking mechanisms modeling pessimistic and optimistic manipulators. Among other things, we conclude that in an egalitarian setting strategic voting may indeed be computationally intractable regardless of the tie-breaking rule. Altogether, we provide a fairly comprehensive picture of the computational complexity landscape of this scenario.
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关键词
Computational social choice,Utility aggregation,Strategic voting,Parameterized computational complexity,Tie-breaking,SNTV,Bloc
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