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...
| Main Authors: | , |
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| Format: | info:eu-repo/semantics/article |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10835/4889 https://doi.org/10.1016/j.patrec.2007.06.013 |
| _version_ | 1789406303359074304 |
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| author | Fernández, Antonio Salmerón Cerdán, Antonio |
| author_facet | Fernández, Antonio Salmerón Cerdán, Antonio |
| author_sort | Fernández, Antonio |
| collection | DSpace |
| description | 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. |
| format | info:eu-repo/semantics/article |
| id | oai:repositorio.ual.es:10835-4889 |
| institution | Universidad de Cuenca |
| language | English |
| publishDate | 2017 |
| record_format | dspace |
| spelling | oai:repositorio.ual.es:10835-48892023-04-12T19:36:14Z BayesChess: A computer chess program based on Bayesian networks Fernández, Antonio Salmerón Cerdán, Antonio Bayesian networks Adaptive learning Computer chess 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. 2017-07-05T09:18:59Z 2017-07-05T09:18:59Z 2008 info:eu-repo/semantics/article http://hdl.handle.net/10835/4889 https://doi.org/10.1016/j.patrec.2007.06.013 en Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
| spellingShingle | Bayesian networks Adaptive learning Computer chess Fernández, Antonio Salmerón Cerdán, Antonio BayesChess: A computer chess program based on Bayesian networks |
| title | BayesChess: A computer chess program based on Bayesian networks |
| title_full | BayesChess: A computer chess program based on Bayesian networks |
| title_fullStr | BayesChess: A computer chess program based on Bayesian networks |
| title_full_unstemmed | BayesChess: A computer chess program based on Bayesian networks |
| title_short | BayesChess: A computer chess program based on Bayesian networks |
| title_sort | bayeschess: a computer chess program based on bayesian networks |
| topic | Bayesian networks Adaptive learning Computer chess |
| url | http://hdl.handle.net/10835/4889 https://doi.org/10.1016/j.patrec.2007.06.013 |
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