IJCAI 2024poster1 citations
Combinatorial Games with Incomplete Information
Junkang Li, Bruno Zanuttini, Véronique Ventos
Abstract
Games with incomplete information model multi-agent interaction in which players do not have common knowledge of the game they play. We propose a minimal generalisation of combinatorial games to incorporate incomplete information, called combinatorial game with incomplete information (CGII). The most important feature of CGIIs is that all actions are public, which allows better visualisation of each player's knowledge and incomplete information. To further motivate the study of this new formalism, we show that computing optimal strategies for CGIIs has the same computational complexity as for general extensive-form games.
Game Theory and Economic Paradigms: GTEP: Noncooperative gamesUncertainty in AI: UAI: Sequential decision making
BibTeX
@inproceedings{ijcai2024p321,
title = {Combinatorial Games with Incomplete Information},
author = {Li, Junkang and Zanuttini, Bruno and Ventos, Véronique},
booktitle = {Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-24}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Kate Larson},
pages = {2895--2903},
year = {2024},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2024/321},
url = {https://doi.org/10.24963/ijcai.2024/321},
}