Computer-Chess Articles Published Elsewhere
1993; International Computer Games Association; Volume: 16; Issue: 2 Linguagem: Inglês
10.3233/icg-1993-16207
ISSN2468-2438
Autores Tópico(s)Artificial Intelligence in Games
ResumoThe right .cerebralhemisphere may be relatively specialized for parsing simple visual stimuli according to default rules, such as the Gestalt laws of perceptual organization, whereas the left cerebral hemisphere may be relatively specialized for overriding such default rules.We extend this model to 'semantically rich domains' by performing a divided-visualfield experiment on 16 chessmasters.Such subjects are able to recall and recognize complex chess positions by chunking the basic elements of the stimuli -the chess pieces -into meaningful groupings according to certain rules that are specific to the semantic structure of the chess domain.We show that the right hemisphere is superior to the left at parsing according to the default rules of chess chunking, but that the left hemisphere is superior to the right at grouping pieces together in violation of those rules.There results suggest that the right hemisphere is better able to acquire and apply new sets of default parsing rules for specific contexts.We conclude, consistently with other neuropsychological evidence, that the right hemisphere is critical for chess skill.
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