Iterated Weaker-than-Weak Dominance

Abstract

We introduce a weakening of standard game-theoretic dominance conditions, called δ-dominance, which enables more aggressive pruning of candidate strategies at the cost of solution accuracy. Equilibria of a game obtained by eliminating a δ-dominated strategy are guaranteed to be approximate equilibria of the original game, with degree of approximation bounded by the dominance parameter, δ. We can apply elimination of δ-dominated strategies iteratively, but the δ for which a strategy may be eliminated depends on prior eliminations. We discuss implications of this order independence, and propose greedy heuristics for determining a sequence of eliminations to reduce the game as far as possible while keeping down costs. A case study analysis of an empirical 2-player game serves to illustrate the technique, and demonstrate the utility of weaker-than-weak dominance pruning.

Cite

Text

Cheng and Wellman. "Iterated Weaker-than-Weak Dominance." International Joint Conference on Artificial Intelligence, 2007.

Markdown

[Cheng and Wellman. "Iterated Weaker-than-Weak Dominance." International Joint Conference on Artificial Intelligence, 2007.](https://mlanthology.org/ijcai/2007/cheng2007ijcai-iterated/)

BibTeX

@inproceedings{cheng2007ijcai-iterated,
  title     = {{Iterated Weaker-than-Weak Dominance}},
  author    = {Cheng, Shih-Fen and Wellman, Michael P.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2007},
  pages     = {1233-1238},
  url       = {https://mlanthology.org/ijcai/2007/cheng2007ijcai-iterated/}
}