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Title: CHREST tutorial: Simulations of human learning
Authors: Gobet, F
Lane, PCR
Keywords: CHREST;Computer modelling;Cognitive architecture;Learning;Syntax;Expertise;Retrieval structure;Concept;Implicit learning;Physics
Issue Date: 2004
Publisher: Erlbaum
Citation: Proceedings of the 26th Annual Meeting of the Cognitive Science Society (p. 3). Mahwah, NJ: Erlbaum.
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.
Appears in Collections:Psychology
Dept of Life Sciences Research Papers

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