IJCAI 2020poster0 citations

The Complexity of Election Problems with Group-Separable Preferences

Piotr Faliszewski, Alexander Karpov, Svetlana Obraztsova

Abstract

We analyze the complexity of several NP-hard election-related problems under the assumptions that the voters have group-separable preferences. We show that under this assumption our problems typically remain NP-hard, but we provide more efficient algorithms if additionally the clone decomposition tree is of moderate height.

Agent-based and Multi-agent Systems: VotingAgent-based and Multi-agent Systems: Computational Social ChoiceAgent-based and Multi-agent Systems: Algorithmic Game Theory
BibTeX
@inproceedings{ijcai2020p29,
  title     = {The Complexity of Election Problems with Group-Separable Preferences},
  author    = {Faliszewski, Piotr and Karpov, Alexander and Obraztsova, Svetlana},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI-20}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Christian Bessiere},
  pages     = {203--209},
  year      = {2020},
  month     = {7},
  note      = {Main track},
  doi       = {10.24963/ijcai.2020/29},
  url       = {https://doi.org/10.24963/ijcai.2020/29},
}
The Complexity of Election Problems with Group-Separable Preferences · IJCAI 2020