Pattern Analysis and Analogy in Shogi: Predicting Shogi Moves from Prior Experience
Document Type
Article
Publication Date
6-2000
Keywords
adversarial modeling, analogy, chess-like games, pattern-based, shogi
Digital Object Identifier (DOI)
https://doi.org/10.1007/s101150050010
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.
Was this content written or created while at USF?
No
Citation / Publisher Attribution
Knowledge and Information Systems, v. 2, issue 2, p. 185-200
Scholar Commons Citation
Walczak, Steven and Grimbergen, Reijer, "Pattern Analysis and Analogy in Shogi: Predicting Shogi Moves from Prior Experience" (2000). School of Information Faculty Publications. 204.
https://digitalcommons.usf.edu/si_facpub/204
