Distance-Based Equilibria in Normal-Form Games
Abstract
We propose a simple uncertainty modification for the agent model in normal-form games; at any given strategy profile, the agent can access only a set of “possible profiles” that are within a certain distance from the actual action profile. We investigate the various instantiations in which the agent chooses her strategy using well-known rationales e.g., considering the worst case, or trying to minimize the regret, to cope with such uncertainty. Any such modification in the behavioral model naturally induces a corresponding notion of equilibrium; a distance-based equilibrium. We characterize the relationships between the various equilibria, and also their connections to well-known existing solution concepts such as Trembling-hand perfection. Furthermore, we deliver existence results, and show that for some class of games, such solution concepts can actually lead to better outcomes.
Cite
Text
Acar and Meir. "Distance-Based Equilibria in Normal-Form Games." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I02.5540Markdown
[Acar and Meir. "Distance-Based Equilibria in Normal-Form Games." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/acar2020aaai-distance/) doi:10.1609/AAAI.V34I02.5540BibTeX
@inproceedings{acar2020aaai-distance,
title = {{Distance-Based Equilibria in Normal-Form Games}},
author = {Acar, Erman and Meir, Reshef},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2020},
pages = {1750-1757},
doi = {10.1609/AAAI.V34I02.5540},
url = {https://mlanthology.org/aaai/2020/acar2020aaai-distance/}
}