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    A methodology for learning players' styles from game records

    Levene, Mark and Fenner, Trevor (2011) A methodology for learning players' styles from game records. International Journal of Artificial Intelligence and Soft Computing 2 (4), pp. 272-286. ISSN 1755-4950.

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    Abstract

    We describe a preliminary investigation into learning a Chess player's style from game records. The method is based on attempting to learn features of a player's individual evaluation function using the method of temporal differences, with the aid of a conventional Chess engine architecture. Some encouraging results were obtained in learning the styles of two Chess world champions, and we report on our attempt to use the learnt styles to discriminate between the players from game records, by trying to detect who was playing white and who was playing black. We also discuss some limitations of our approach.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): temporal difference learning, evaluation function, game records, player styles, computer chess, chess players, game playing, gaming, playing styles
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Administrator
    Date Deposited: 14 May 2013 09:51
    Last Modified: 02 Dec 2016 13:23
    URI: http://eprints.bbk.ac.uk/id/eprint/6748

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