Automating Collusion Detection in Sequential Games
Abstract
Collusion is the practice of two or more parties deliberately cooperating to the detriment of others. While such behavior may be desirable in certain circumstances, in many it is considered dishonest and unfair. If agents otherwise hold strictly to the established rules, though, collusion can be challenging to police. In this paper, we introduce an automatic method for collusion detection in sequential games. We achieve this through a novel object, called a collusion table, that captures the effects of collusive behavior, i.e., advantage to the colluding parties, without assuming any particular pattern of behavior. We show the effectiveness of this method in the domain of poker, a popular game where collusion is prohibited.
Cite
Text
Mazrooei et al. "Automating Collusion Detection in Sequential Games." AAAI Conference on Artificial Intelligence, 2013. doi:10.1609/AAAI.V27I1.8674Markdown
[Mazrooei et al. "Automating Collusion Detection in Sequential Games." AAAI Conference on Artificial Intelligence, 2013.](https://mlanthology.org/aaai/2013/mazrooei2013aaai-automating/) doi:10.1609/AAAI.V27I1.8674BibTeX
@inproceedings{mazrooei2013aaai-automating,
title = {{Automating Collusion Detection in Sequential Games}},
author = {Mazrooei, Parisa and Archibald, Christopher and Bowling, Michael},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2013},
pages = {675-682},
doi = {10.1609/AAAI.V27I1.8674},
url = {https://mlanthology.org/aaai/2013/mazrooei2013aaai-automating/}
}