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.5210

Markdown

[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.5210

BibTeX

@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/}
}