{"title":"Neural network learning in a chess endgame","authors":"C. Posthoff, S. Schawelski, M. Schlosser","doi":"10.1109/ICNN.1994.374786","DOIUrl":null,"url":null,"abstract":"The paper shows experiments how to transform knowledge from an endgame database (i.e. a complete collection of information items) into a neural network. In the authors' opinion, it is the first usage of a neural network in the game of chess. Because of complexity it was not possible to deal with the game of chess as a whole, but only with a small endgame. Results and open questions are discussed.<<ETX>>","PeriodicalId":209128,"journal":{"name":"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNN.1994.374786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The paper shows experiments how to transform knowledge from an endgame database (i.e. a complete collection of information items) into a neural network. In the authors' opinion, it is the first usage of a neural network in the game of chess. Because of complexity it was not possible to deal with the game of chess as a whole, but only with a small endgame. Results and open questions are discussed.<>
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