Complexity of Unweighted Coalitional Manipulation under Some Common Voting Rules
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 348-352.
Abstract
Understanding the computational complexity of manipulation in elections is arguably the most central agenda in Computational Social Choice. One of the influential variations of the the problem involves a coalition of manipulators trying to make a favorite candidate win the election. Although the complexity of the problem is well-studied under the assumption that the voters are weighted, there were very few successful attempts to abandon this strong assumption.In this paper, we study the complexity of the unweighted coalitional manipulation problem (UCM) under several prominent voting rules. Our main result is that UCM is NP-complete under the maximin rule; this resolves an enigmatic open question. We then show that UCM is NP-complete under the ranked pairs rule, even with respect to a single manipulator. Furthermore, we provide an extreme hardness-of-approximation result for an optimization version of UCM under ranked pairs. Finally, we show that UCM under the Bucklin rule is in P.Lirong Xia, Michael Zuckerman, Ariel D. Procaccia, Vincent Conitzer, Jeffrey S. Rosenschein
@inproceedings{ijcai2009p66,
title = {Complexity of Unweighted Coalitional Manipulation under Some Common Voting Rules},
author = {Xia, Lirong and Zuckerman, Michael and Procaccia, Ariel D. and Conitzer, Vincent and Rosenschein, Jeffrey S.},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {348--352},
year = {2009},
url = {https://ijcai.org/proceedings/2009/66},
}
TY - CPAPER TI - Complexity of Unweighted Coalitional Manipulation under Some Common Voting Rules AU - Xia, Lirong AU - Zuckerman, Michael AU - Procaccia, Ariel D. AU - Conitzer, Vincent AU - Rosenschein, Jeffrey S. T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 348 EP - 352 UR - https://ijcai.org/proceedings/2009/66 ER -Copied
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