A simulation of memory for chess positions

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.