Probabilistic Possible Winner Determination

Abstract

We study the computational complexity of the counting version of the Possible-Winner problem for elections. In the Possible-Winner problem we are given a profile of voters, each with a partial preference order, and ask if there are linear extensions of the votes such that a designated candidate wins. We also analyze a special case of Possible-Winner, the Manipulation problem. We provide polynomial-time algorithms for counting manipulations in a class of scoring protocols and in several other voting rules. We show #P-hardness of the counting variant of Possible-Winner for plurality and veto and give a simple yet general and practically useful randomized algorithm for a variant of Possible-Winner for all voting rules for which a winner can be computed in polynomial time.

Cite

Text

Bachrach et al. "Probabilistic Possible Winner Determination." AAAI Conference on Artificial Intelligence, 2010. doi:10.1609/AAAI.V24I1.7609

Markdown

[Bachrach et al. "Probabilistic Possible Winner Determination." AAAI Conference on Artificial Intelligence, 2010.](https://mlanthology.org/aaai/2010/bachrach2010aaai-probabilistic/) doi:10.1609/AAAI.V24I1.7609

BibTeX

@inproceedings{bachrach2010aaai-probabilistic,
  title     = {{Probabilistic Possible Winner Determination}},
  author    = {Bachrach, Yoram and Betzler, Nadja and Faliszewski, Piotr},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2010},
  pages     = {697-702},
  doi       = {10.1609/AAAI.V24I1.7609},
  url       = {https://mlanthology.org/aaai/2010/bachrach2010aaai-probabilistic/}
}