STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Introduction to algorithms
Computers and Intractability: A Guide to the Theory of NP-Completeness
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A heuristic technique for multi-agent planning
Annals of Mathematics and Artificial Intelligence
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Generalized distances between rankings
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Ties matter: complexity of voting manipulation revisited
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Determining possible and necessary winners under common voting rules given partial orders
Journal of Artificial Intelligence Research
On the complexity of voting manipulation under randomized tie-breaking
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Possible and necessary winner problem in social polls
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Complexity of voting manipulation is a prominent research topic in computational social choice. In this paper, we study the complexity of optimal manipulation, i.e., finding a manipulative vote that achieves the manipulator's goal yet deviates as little as possible from her true ranking. We study this problem for three natural notions of closeness, namely, swap distance, footrule distance, and maximum displacement distance, and a variety of voting rules, such as scoring rules, Bucklin, Copeland, and Maximin. For all three distances, we obtain poly-time algorithms for all scoring rules and Bucklin and hardness results for Copeland and Maximin.