CHREST Tutorial: An Introduction to Cognitive Modelling
This workshop was held at Brunel University, London, on Wednesday September 14th, 2011
CHREST (Chunk Hierarchy and REtrieval STructures) is a computational model of human learning and perception (see http://www.chrest.info). It has been used to successfully simulate data in a variety of domains, including:
The aim of this workshop is to introduce cognitive modelling through
CHREST, explain how CHREST can be used to model various phenomena, and
teach participants how to model their own data.
Participants in this tutorial will:
- acquisition of language
- expert behaviour
- concept formation
- implicit learning
- the acquisition of multiple representations.
- Be introduced to cognitive modelling and latest results in modelling perceptual learning;
- Acquire a comprehensive understanding of the CHREST
computational model and its relation to the chunking and template
theories of cognition;
- Explore some key learning phenomena supporting the chunking theory by taking part in a verbal-learning experiment;
- Attempt to match the performance of a CHREST model of verbal learning with their own data; and
- Learn how to use CHREST to model their own data in different domains.
The tutorial is held by Prof. Fernand Gobet, Dr. Peter Lane, and Dr. Marvin
Schiller. It is supported by funding from the British Academy.
is Professor of Psychology at Brunel University. He previously was
Reader of Intelligent Systems at the University of Nottingham. He
started working on the CHREST architecture in collaboration with Herbert
Simon during his stay at Carnegie Mellon (1990-1995). In addition to
developing the CHREST architecture, his scientific interests include:
methodology of computational modelling; empirical research into expert
behaviour, including its neural correlates; the psychology of board
games; natural and artifical intelligence; gambling; and the fusion
between perceptual and conceptual knowledge.
is a Senior Lecturer in the School of Computer Science at the
University of Hertfordshire. He was introduced to CHREST when working
for Fernand Gobet at the University of Nottingham. In addition to work
with CHREST, research interests include: data mining, image analysis and
Marvin Schiller is a Research Fellow at the Centre for the
Study of Expertise at Brunel University. His current work investigates
cognitive models of problem gambling using CHREST.
This workshop is co-located with the 2011
London Workshop on Problem Gambling on Tuesday,
September 13th, 2011.
You find the programme here.
Please send inquiries or suggestions to:
School of Social Sciences
Last modified: Mon Jun 18 15:06:22 BST 2012