− | Simon was interested in how humans learn and, with [[Edward Feigenbaum]], he developed the [[EPAM]] (Elementary Perceiver and Memorizer) theory, one of the first theories of [[learning]] to be implemented as a computer program. EPAM was able to explain a large number of phenomena in the field of verbal learning.<ref>{{cite journal | last1 = Feigenbaum | first1 = E. A. | last2 = Simon | first2 = H. A. | year = 1984 | title = EPAM-like models of recognition and learning | url = | journal = Cognitive Science | volume = 8 | issue = 4| pages = 305–336 | doi=10.1016/s0364-0213(84)80005-1}}</ref> Later versions of the model were applied to [[concept formation]] and the acquisition of [[expertise]]. With [[Fernand Gobet]], he has expanded the EPAM theory into the [[CHREST]] computational model.<ref>{{cite journal | last1 = Gobet | first1 = F. | last2 = Simon | first2 = H. A. | year = 2000 | title = Five seconds or sixty? Presentation time in expert memory | url = http://bura.brunel.ac.uk/handle/2438/811| journal = Cognitive Science | volume = 24 | issue = 4| pages = 651–682 | doi=10.1016/s0364-0213(00)00031-8}}</ref> The theory explains how simple [[chunking (psychology)|chunks]] of information form the building blocks of schemata, which are more complex structures. CHREST has been used predominantly, to simulate aspects of chess expertise.{{citation needed|date=January 2014}}
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