Complexity Results About Nash Equilibria

Abstract

Noncooperative game theory provides a normative framework for analyzing strategic interactions. However, for the toolbox to be operational, the solutions it defines will have to be computed. In this paper, we provide a single reduction that 1) demonstrates NP-hardness of determining whether Nash equilibria with certain natural properties exist, and 2) demonstrates the NP-hardness of counting Nash equilibria (or connected sets of Nash equilibria). We also show that 3) determining whether a purestrategy Bayes-Nash equilibrium exists is NP-hard, and that 4) determining whether a pure-strategy Nash equilibrium exists in a stochastic (Markov) game is PSP ACE-hard even if the game is invisible (this remains NP-hard if the game is finite). All of our hardness results hold even if there are only two players and the game is symmetric.

Cite

Text

Conitzer and Sandholm. "Complexity Results About Nash Equilibria." International Joint Conference on Artificial Intelligence, 2003.

Markdown

[Conitzer and Sandholm. "Complexity Results About Nash Equilibria." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/conitzer2003ijcai-complexity-a/)

BibTeX

@inproceedings{conitzer2003ijcai-complexity-a,
  title     = {{Complexity Results About Nash Equilibria}},
  author    = {Conitzer, Vincent and Sandholm, Tuomas},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2003},
  pages     = {765-771},
  url       = {https://mlanthology.org/ijcai/2003/conitzer2003ijcai-complexity-a/}
}