Knowledge Discovery in Chess Using an Aesthetics Approach.

The article discusses the development of an aesthetic model or method for computers to recognize the beauty in the game of chess. It indicates that the model aims to associate positively and reasonably with human player aesthetic assessment. It focuses on the development of computer program called C...

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Bibliographic Details
Published in:Journal of Aesthetic Education Vol. 46; no. 1; pp. 73 - 91
Main Author: IQBAL, AZLAN
Format: Article
Published: University of Illinois Press Spring2012
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Spring2012
      vid: 46
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      pub: University of Illinois Press
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        10.5406/jaesteduc.46.1.0073
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        atl: Knowledge Discovery in Chess Using an Aesthetics Approach.
      aug:
        au: IQBAL, AZLAN
        affil: Computer scientist and Senior Lecturer, College of Information Technology, Universiti Tenaga Nasional (UNITEN), Malaysia
      su:
        Chess
        Aesthetic experience
        Board games
        Computer programming
        Mathematical models
        Computer software
        Video games
        Aesthetics
        Databases
      sug:
        subj:
          Chess
          Aesthetic experience
          Board games
          Computer programming
          Mathematical models
          Computer software
          Video games
          Aesthetics
          Databases
      ab: The article discusses the development of an aesthetic model or method for computers to recognize the beauty in the game of chess. It indicates that the model aims to associate positively and reasonably with human player aesthetic assessment. It focuses on the development of computer program called CHESTHETICA to aid in the complex calculations involved identify beautiful combinations in large databases of chess games based on aesthetic model. It examines new discoveries about the game made by the program and discusses the philosophical basis of computational aesthetic recognition in chess, specifically chess themes.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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          year: 2012
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