Computational Aspects of Nearly Single-Peaked Electorates
Abstract
Manipulation, bribery, and control are well-studied ways of changing the outcome of an election. Many voting systems are, in the general case, computationally resistant to some of these manipulative actions. However when restricted to single-peaked electorates, these systems suddenly become easy to manipulate. Recently, Faliszewski, Hemaspaandra, and Hemaspaandra studied the complexity of dishonest behavior in nearly single-peaked electorates. These are electorates that are not single-peaked but close to it according to some distance measure. In this paper we introduce several new distance measures regarding single-peakedness. We prove that determining whether a given profile is nearly single-peaked is NP-complete in many cases. For one case we present a polynomial-time algorithm. Furthermore, we explore the relations between several notions of nearly single-peakedness.
Cite
Text
Erdélyi et al. "Computational Aspects of Nearly Single-Peaked Electorates." Journal of Artificial Intelligence Research, 2017. doi:10.1613/JAIR.5210Markdown
[Erdélyi et al. "Computational Aspects of Nearly Single-Peaked Electorates." Journal of Artificial Intelligence Research, 2017.](https://mlanthology.org/jair/2017/erdelyi2017jair-computational/) doi:10.1613/JAIR.5210BibTeX
@article{erdelyi2017jair-computational,
title = {{Computational Aspects of Nearly Single-Peaked Electorates}},
author = {Erdélyi, Gábor and Lackner, Martin and Pfandler, Andreas},
journal = {Journal of Artificial Intelligence Research},
year = {2017},
pages = {297-337},
doi = {10.1613/JAIR.5210},
volume = {58},
url = {https://mlanthology.org/jair/2017/erdelyi2017jair-computational/}
}