CHREST Tutorial

CHREST is a cognitive architecture that models human perception, learning, memory and problem solving. Its distinctive features include an emphasis on the importance of perception and attention, and the incorporation of human constraints, such as limitations on short-term memory and processing speed. CHREST is particulary suited to modelling human learning in domains involving high-level (symbolic) information.

For the latest information about CHREST, please visit our website: http://chrest.info, sign up to our mailing list, and follow us on twitter @chrest_news.

Tutorial Schedule

This tutorial should take approximately 2 hours. The lecture slides may be viewed by clicking on the link in the table below.

TopicDuration
Introduction to tutorial5 minutes
Overview of CHREST10 minutes
Learning mechanisms25 minutes
Demonstration/practical 120 minutes
Key results (expertise)20 minutes
Demonstration/practical 220 minutes
Working with your data: Input format, scripting15 minutes
Conclusion5 minutes

Papers

We have provided some sample papers to introduce the CHREST literature. Note that some of these are preprints. The latest publications are announced on the mailing list, and posted at http://chrest.info.

Theory and introduction

Some results

Chess

Chess has been influential in the psychological study of expertise, ever since the early work of de Groot in 1946 established the importance of the recall experiment.

Implicit Learning

Problem Solving

Recent work with CHREST has looked at adding problem-solving behaviour. This has mostly been limited to chess.

Language

Ageing

Neuroscience

The use of fMRI studies in cognitive science has not had a long history, but some useful experiments have been performed.

Software

The CHREST implementation is in the 'Software' folder of this CDROM. The latest version is available from http://chrest.info/software.html