CHREST tutorial: Simulations of human learning

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/2134

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DC Field	Value	Language
dc.contributor.author	Gobet, F	-
dc.contributor.author	Lane, PCR	-
dc.coverage.spatial	1	en
dc.date.accessioned	2008-05-01T13:17:29Z	-
dc.date.available	2008-05-01T13:17:29Z	-
dc.date.issued	2004	-
dc.identifier.citation	Proceedings of the 26th Annual Meeting of the Cognitive Science Society (p. 3). Mahwah, NJ: Erlbaum.	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/2134	-
dc.description.abstract	CHREST (Chunk Hierarchy and REtrieval STructures) is a comprehensive, computational model of human learning and perception. It has been used to successfully simulate data in a variety of domains, including: the acquisition of syntactic categories, expert behaviour, concept formation, implicit learning, and the acquisition of multiple representations in physics for problem solving. The aim of this tutorial is to provide participants with an introduction to CHREST, how it can be used to model various phenomena, and the knowledge to carry out their own modelling experiments.	en
dc.format.extent	42733 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Erlbaum	en
dc.subject	CHREST	en
dc.subject	Computer modelling	en
dc.subject	Cognitive architecture	en
dc.subject	Learning	en
dc.subject	Syntax	en
dc.subject	Expertise	en
dc.subject	Retrieval structure	en
dc.subject	Concept	en
dc.subject	Implicit learning	en
dc.subject	Physics	en
dc.title	CHREST tutorial: Simulations of human learning	en
dc.type	Research Paper	en
Appears in Collections:	Psychology Dept of Life Sciences Research Papers

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