Data mining of chess chunks: a novel distance-based structure

Abstract

The use of psychological theories to model the chess game was discussed. The chess representation structure accounts for various features of human player's psychology such as the movement of eye saccades between related pieces in the game. The chess players use a form of mining to categorize each chunk perceived in a position and develop a complex dynamic structure to represent thepressures embedded in each position. It is found that the model opens a new avenue of research for data mining methodology, which could be applied to the cognitive sciences and to test new theories of artificial intelligence.