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Title: What forms the chunks in a subject's performance? Lessons from the CHREST computational model of learning
Authors: Lane, PCR
Gobet, F
Cheng, PCH
Keywords: Computational modeling;Learning;Chunking;CHREST;Magical number;Short-term memory (STM);Visual short-term memory;Cowan
Issue Date: 2001
Publisher: Cambridge University Press
Citation: Behavioural and Brain Sciences, 24 (1): 128-129, Feb 2001
Abstract: 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.
DOI: tp://
ISSN: 0140-525X
Appears in Collections:Psychology
Dept of Life Sciences Research Papers

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