What forms the chunks in a subject's performance? Lessons from the CHREST computational model of learning
2001 ◽
Vol 24
(1)
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pp. 128-129
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Keyword(s):
Computational models of learning provide an alternative technique for identifying the number and type of chunks used by a subject in a specific task. Results from applying CHREST to chess expertise support the theoretical framework of Cowan and a limit in visual short-term memory capacity of 3–4 looms. An application to learning from diagrams illustrates different identifiable forms of chunk.
2010 ◽
Vol 72
(4)
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pp. 1097-1109
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2015 ◽
Vol 69
(2)
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pp. 213-220
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Keyword(s):
2010 ◽
Vol 22
(3)
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pp. 496-512
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2005 ◽
Vol 5
(2)
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pp. 144-155
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2018 ◽
2009 ◽
Vol 16
(6)
◽
pp. 1000-1010
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Keyword(s):