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

Published online by Cambridge University Press:  15 November 2002

Peter C. R. Lane
Affiliation:
ESRC Centre for Research in Development, Instruction and Training, School of Psychology, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom [email protected]@[email protected] http://www.psychology.nottingham.ac.uk/staff/Peter.Lane http://www.psychology.nottingham.ac.uk/staff/Peter.Cheng http://www.psychology.nottingham.ac.uk/staff/Fernand.Gobet
Peter C-H. Cheng
Affiliation:
ESRC Centre for Research in Development, Instruction and Training, School of Psychology, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom [email protected]@[email protected] http://www.psychology.nottingham.ac.uk/staff/Peter.Lane http://www.psychology.nottingham.ac.uk/staff/Peter.Cheng http://www.psychology.nottingham.ac.uk/staff/Fernand.Gobet
Fernand Gobet
Affiliation:
ESRC Centre for Research in Development, Instruction and Training, School of Psychology, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom [email protected]@[email protected] http://www.psychology.nottingham.ac.uk/staff/Peter.Lane http://www.psychology.nottingham.ac.uk/staff/Peter.Cheng http://www.psychology.nottingham.ac.uk/staff/Fernand.Gobet

Abstract

We discuss the relation of the Theory of Event Coding (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.

Type
Brief Report
Copyright
© 2001 Cambridge University Press

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