CHREST - Centre for Research in Development, Instruction and Training

The CHREST Home Page

Principal Investigator: Fernand Gobet

Group members:

This page includes the following information:

CHREST comprises three basic modules, as shown in the figure:

Input/output module, which is responsible for feature extraction, passing the features to the long-term memory for sorting, and guiding the eye movements;
Long-term memory, which holds information in the form a discrimination network; and
Short-term memory, which holds pointers to nodes in the long-term memory.

We provide some sample code and a description of a generic implementation of CHREST on the chrest-code page.

de Groot, A. & Gobet, F. (1996). Perception and memory in chess. Heuristics of the professional eye. Assen: Van Gorcum. Contents

Gobet, F. Expert Memory: A Comparison of Four Theories, Cognition, 66:115-152, 1998. Abstract

Gobet, F., and Simon, H. A., Expert chess memory: Revisiting the chunking hypothesis, Memory, 6:225-255, 1998. Abstract

Chess expertise,
Problem solving with diagrammatic representations,
Language learning, which employs a variant of CHREST known as MOSAIC. Areas being looked at include:
- Syntax acquisition
- Vocabulary acquisition.
The balance beam task, and
Computer Programming

CHREST is one of a number of computational modelling projects being undertaken in CREDIT.