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...
| Những tác giả chính: | , |
|---|---|
| Định dạng: | info:eu-repo/semantics/article |
| Ngôn ngữ: | English |
| Được phát hành: |
2017
|
| Những chủ đề: | |
| Truy cập trực tuyến: | http://hdl.handle.net/10835/4889 https://doi.org/10.1016/j.patrec.2007.06.013 |
| Tóm tắt: | 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. |
|---|