Data mining of chess chunksa novel distance-based structure

Resumo

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.

Ficha do documento

Tipo

Artigo científico

Ano

2003

Instituição

WITPress

Fonte

Repositório da FGV

Idioma

Inglês

Acesso

Acesso aberto

Identificador

oai:repositorio.fgv.br:10438/25214

Temas

TecnologiaDados

Palavras-chave

Artificial intelligenceCognitive systemsEye movementsGame theoryKnowledge acquisitionMathematical modelsProblem solvingPsychology computingSearch enginesSensory perceptionTrees (mathematics)Distance-based structureMovement combinationsPsychological evidenceData miningMineração de dados (Computação)Inteligência artificialSistemas de recuperação da informação