title | abstract | layout | series | publisher | issn | id | month | tex_title | firstpage | lastpage | page | order | cycles | bibtex_editor | editor | bibtex_author | author | date | note | address | container-title | volume | genre | issued | extras | ||||||||||||||||||||||||||
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Identifying reasoning patterns in games |
We present an algorithm that identifies the reasoning patterns of agents in a game, by iteratively examining the graph structure of its Multi-Agent Influence Diagram (MAID) representation. If the decision of an agent participates in no reasoning patterns, then we can effectively ignore that decision for the purpose of calculating a Nash equilibrium for the game. In some cases, this can lead to exponential time savings in the process of equilibrium calculation. Moreover, our algorithm can be used to enumerate the reasoning patterns in a game, which can be useful for constructing more effective computerized agents interacting with humans. |
inproceedings |
Proceedings of Machine Learning Research |
PMLR |
2640-3498 |
antos08a |
0 |
Identifying reasoning patterns in games |
9 |
18 |
9-18 |
9 |
false |
McAllester, David A. and Myllym{"a}ki, Petri |
|
Antos, Dimitrios and Pfeffer, Avi |
|
2008-07-09 |
Reissued by PMLR on 30 October 2024. |
Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence |
R6 |
inproceedings |
|