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Case-based evaluation in computer chess

  • Yaakov Kerner
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 984)

Abstract

Current computer-chess programs achieve outstanding results in chess playing. However, there is a deficiency of evaluative comments on chess positions. In this paper, we propose a case-based model that supplies a comprehensive positional analysis for any given position. This analysis contains evaluative comments for the most significant basic features found in the position and a general evaluation for the entire position. The analysis of the entire position is presented by an appropriate Multiple explanation Pattern (MXP), while the analysis of each chosen feature is presented by a suitable eXplanation Pattern (XP). The proposed analysis can improve weak and intermediate players' play in general and their understanding, evaluating and planning abilities in particular. This model is part of an intelligent educational chess system which is under development. At present, our model deals only with a static evaluation of chess positions; addition of searching and playing modules remains for future work.

Keywords

case-based reasoning computer chess explanation patterns 
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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Yaakov Kerner
    • 1
  1. 1.Department of Mathematics and Computer ScienceBar-Ilan UniversityRamat-GanIsrael

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