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http://bura.brunel.ac.uk/handle/2438/9157
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. |
URI: | http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=84511&fileId=S0140525X01363926 http://bura.brunel.ac.uk/handle/2438/9157 |
DOI: | tp://dx.doi.org/10.1017/S0140525X01363926 |
ISSN: | 0140-525X |
Appears in Collections: | Psychology Dept of Life Sciences Research Papers |
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