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The Complexity of Manipulative Attacks in Nearly Single-Peaked Electorates (Extended Abstract)

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Journal Track. Pages 4178-4181.

Abstract

Many electoral control and manipulation problems — which we will refer to in general as manipulative actions problems — are NP-hard in the general case. Many of these problems fall into polynomial time if the electorate is single-peaked, i.e., is polarized along some axis/issue. However, real-world electorates are not truly single-peaked — for example, there may be some maverick voters — and to take this into account, we study the complexity of manipulative-action algorithms for the case of nearly single-peaked electorates.

Piotr Faliszewski, Edith Hemaspaandra, and Lane A. Hemaspaandra. 2015. The Complexity of Manipulative Attacks in Nearly Single-Peaked Electorates (Extended Abstract). In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 4178–4181. https://ijcai.org/proceedings/2015/591
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