BayesChess: A computer chess program based on Bayesian networks
In this paper we introduce a chess program able to adapt its game strategy to its opponent, as well as to adapt the evaluation function that guides the search process according to its playing experience. The adaptive and learning abilities have been implemented through Bayesian networks. We show how...
| Autores principales: | , |
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| Formato: | info:eu-repo/semantics/article |
| Lenguaje: | English |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/10835/4889 https://doi.org/10.1016/j.patrec.2007.06.013 |
| Sumario: | In this paper we introduce a chess program able to adapt its game strategy to its opponent, as well as to adapt the evaluation function that guides the search process according to its playing experience. The adaptive and learning abilities have been implemented through Bayesian networks. We show how the program learns through an experiment consisting on a series of games that point out that the results improve after the learning stage. |
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