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Article
Pattern Analysis and Analogy in Shogi: Predicting Shogi Moves from Prior Experience
Knowledge and Information Systems
  • Steven Walczak, University of South Florida
  • Reijer Grimbergen, Electrotechnical Laboratory, Ibaraki
Document Type
Article
Publication Date
6-1-2000
Keywords
  • adversarial modeling,
  • analogy,
  • chess-like games,
  • pattern-based,
  • shogi
Digital Object Identifier (DOI)
https://doi.org/10.1007/s101150050010
Disciplines
Abstract

As a research paradigm, pattern analysis has been shown to be an effective tool for analyzing complex game situations in both chess and go. We extend the prior pattern analysis research in chess to the domain of shogi. Shogi is computationally more complex than chess and should realize greater benefits than the chess domain from pattern recognition and pattern exploitation research. The IAM program, which has accurately predicted up to 28% of the moves for a specific chess player, is redesigned to operate in the domain of shogi. Results similar to those achieved for the domain of chess are achieved in shogi.

Citation / Publisher Attribution

Knowledge and Information Systems, v. 2, issue 2, p. 185-200

Citation Information
Steven Walczak and Reijer Grimbergen. "Pattern Analysis and Analogy in Shogi: Predicting Shogi Moves from Prior Experience" Knowledge and Information Systems Vol. 2 Iss. 2 (2000) p. 185 - 200
Available at: http://works.bepress.com/steven-walczak/53/