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Authors: Keisuke Tomoda and Koji Hasebe

Affiliation: Department of Computer Science, University of Tsukuba, Japan

Keyword(s): Imperfect Information Game, Genetic Algorithm, Playstyle, Geister.

Abstract: Studies on game-playing agents have made various attempts to develop agents with characteristic playstyle. Most of these studies either generated agents with predetermined playstyles or simultaneously generated different playstyles without defining a specific playstyle for single-player complete information games. However, the generation of agents with different playstyles for multi-player imperfect information games has not been thoroughly investigated. Therefore, in this study, we have proposed an automatic playstyle generation method for a two-player imperfect information game called Geister. The basic idea is to use a genetic algorithm to optimize agents whose genes represent parameters that determine the manner of guessing hidden information. By clustering the genes with high fitness, obtained using this process, agents with different playstyles are generated simultaneously. From the results of the experiments, our proposed method generated five different playstyles with cyclic dominance relationships. (More)

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Paper citation in several formats:
Tomoda, K. and Hasebe, K. (2023). Playstyle Generation for Geister With Genetic Algorithm and Clustering. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 916-922. DOI: 10.5220/0011801400003393

@conference{icaart23,
author={Keisuke Tomoda. and Koji Hasebe.},
title={Playstyle Generation for Geister With Genetic Algorithm and Clustering},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2023},
pages={916-922},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011801400003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Playstyle Generation for Geister With Genetic Algorithm and Clustering
SN - 978-989-758-623-1
IS - 2184-433X
AU - Tomoda, K.
AU - Hasebe, K.
PY - 2023
SP - 916
EP - 922
DO - 10.5220/0011801400003393
PB - SciTePress

- Science and Technology Publications, Lda.
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