AI Bibliography |
Simon, H. A., & Gilmartin, K. (1973). A simulation of memory for chess positions. Cognitive psychology, 5(1), 29–46. |
Resource type: Journal Article BibTeX citation key: Simon1973 View all bibliographic details |
Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Computer Science, Decision Theory, General, Mathematics Subcategories: Decision making, Deep learning, Human decisionmaking, Human learning, Machine intelligence, Synthetic intelligence Creators: Gilmartin, Simon Publisher: Collection: Cognitive psychology |
Attachments |
Abstract |
This paper describes an information-processing model, MAPP, implemented as a computer program, that simulates the processes subjects use to remember and reproduce chess positions they have seen briefly. The model incorporates processes adapted from PERCEIVER, an information-processsing theory of eye movements in chess perception, and EPAM, a theory of rote verbal learning. The data from MAPP show good agreement with the performance of strong chess players in identical tasks.
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