WIT Press


Data Mining Of Chess Chunks: A Novel Distance-based Structure

Price

Free (open access)

Paper DOI

10.2495/DATA030571

Volume

29

Pages

10

Published

2003

Size

635 kb

Author(s)

A. Linhares

Abstract

Data mining of chess chunks: a novel distance-based structure A. Linhares The Getulio Vargas Foundation, Brazil Abstract What can the disciplines of artificial intelligence and the cognitive sciences obtain from the application of data mining methodology? There is a great chasm between traditional artificial intelligence methods and real human cognition. The notorious game of chess is a good example, having been traditionally modeled by search engines with advanced pruning techniques. There is, however, considerable psychological evidence that points to the view that human players do not carry out such types of processes. A more suitable alternative view seems to be that chess masters are carrying out a form of mining, carefully categorizing each chunk perceived in a position and gradually building a complex dynamic structure to represent the pressures embedded in each position. This is not only a new application area for data mining, but it is also of utmost importance to psychological theori

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