Complexity of strategic behavior in multi-winner elections

Reshef Meir*, Ariel D. Procaccia, Jeffrey S. Rosenschein, Aviv Zohar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

81 Scopus citations


Although recent years have seen a surge of interest in the computational aspects of social choice, no specific attention has previously been devoted to elections with multiple winners, e.g., elections of an assembly or committee. In this paper, we characterize the worst-case complexity of manipulation and control in the context of four prominent multi-winner voting systems, under different formulations of the strategic agent's goal.

Original languageAmerican English
Pages (from-to)149-178
Number of pages30
JournalJournal of Artificial Intelligence Research
StatePublished - 2008

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