The CHREST model of active perception and its role in problem solving

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/810

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DC Field	Value	Language
dc.contributor.author	Lane, PCR	-
dc.contributor.author	Cheng, PCH	-
dc.contributor.author	Gobet, F	-
dc.coverage.spatial	4	en
dc.date.accessioned	2007-05-25T14:32:40Z	-
dc.date.available	2007-05-25T14:32:40Z	-
dc.date.issued	2001	-
dc.identifier.citation	Behavioural and Brain Sciences. 24, 892	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/810	-
dc.description.abstract	We discuss the relation of TEC to a computational model of expert perception, CHREST, based on the chunking theory. TEC’s status as a verbal theory leaves several questions unanswerable, such as the precise nature of internal representations used, or the degree of learning required to obtain a particular level of competence: CHREST may help answer such questions.	en
dc.format.extent	28138 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Cambridge University Press	en
dc.subject	Computational model	en
dc.subject	Expert perception	en
dc.subject	Perceptual expertise	en
dc.subject	CHREST	en
dc.subject	Internal representation	en
dc.subject	Learning	en
dc.subject	CHREST+	en
dc.subject	Chunking theory	en
dc.subject	TEC	en
dc.subject	Hommel	en
dc.subject	Prinz	en
dc.subject	Active perception	en
dc.title	The CHREST model of active perception and its role in problem solving	en
dc.type	Research Paper	en
Appears in Collections:	Design Publications Psychology Advanced Manufacturing and Enterprise Engineering (AMEE) Dept of Life Sciences Research Papers

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