Welcome to the new CHREST mailing list.

Hi, just demonstrating that the mailing list works correctly (hopefully!)

The quick brown fox jumps over the lazy dog and then goes down the pub
01234567890

Assuming this does work, I'll invite previous CHREST researchers on to it.

cheers
Rich

--
Dr. Richard Llewellyn Smith
richard.smith@... | rls@...
259 Gaskell
(01895 2) 65884

Please find attached an exciting paper on how Chrest avoids the utility
problem.

	 Peter.
--
Dr. Peter Lane
Senior Lecturer in Computer Science
University of Hertfordshire
College Lane, Hatfield, AL10 9AB, U.K.
Tel: +44 (0)1707 285063
Fax: +44 (0)1707 284303
Url: http://homepages.feis.herts.ac.uk/~comqpcl

Hi there,

I'm pleased to let you know that another CHREST/EPAM-VOC paper on
modelling the acquisition of vocabulary has been accepted for
publication:

Jones, G., Gobet, F., & Pine, J. M. (in press). Computer simulations of
developmental change: The contributions of working memory capacity and
long-term knowledge. Cognitive Science.

Cheers,

Fernand

Dear Chrest members,

A Happy New Year to you all.

Over the last year, there were many publications related to CHREST and MOSAIC,
and below I have provided a list.  Please contact the authors directly for more
information.  Two tutorials on EPAM/CHREST were run, at Cogsci and ICCM, and we
welcome all who have joined this list as a result.

CHREST development and research is ongoing and active.  More information and
material to download is available from the CHREST website at: 
http://chrest.info/home.html

   all the best for 2010,

       Peter.

Some publications from 2009.

General CHREST:

1. F. Gobet and P.C.R. Lane, 'The CHREST architecture of cognition: The role of
perception in general intelligence', to appear in Proceedings of the the third
conference on Artificial General Intelligence, 2010.
2. P.C.R. Lane, F. Gobet and R. Ll. Smith, 'Attention mechanisms in the CHREST
cognitive architecture', in L. Paletta and J. K. Tsotsos (eds), Proceedings of
the Fifth International Workshop on Attention in Cognitive Systems,
(Springer-Verlag) LNCS 5395, pp. 183-196, 2009.

Chess:

1 R. Ll. Smith, F. Gobet and P.C.R. Lane, 'Checking chess checks with chunks: A
model of simple check detection', in A. Howes, D. Peebles, R. Cooper (Eds.),
Proceedings of the Ninth International Conference on Cognitive Modelling', 2009.

MOSAIC:

1. Freudenthal, D., Pine, J. M., and Gobet, F. (in press). Explaining
quantitative variation in the rate of Optional Infinitive errors across
languages: A comparison of MOSAIC and the Variational Learning Model. Journal of
Child Language.
2. Freudenthal, D., Pine, J. M., and Gobet, F. (2009). Comparing MOSAIC and the
Variational Learning model of the optional infinitive stage in early child
language. In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual
Meeting of the Cognitive Science Society. Cognitive Science Society.
3. Freudenthal, D., Pine, J. M., and Gobet, F. (2009). Simulating the
referential properties of Dutch, German and English Root Infinitives in MOSAIC.
Language Learning and Development, 5, 1-29.

Cross cultural modelling:

1. F. Gobet, 'Using a Cognitive Architecture for Addressing the Question of
Cognitive Universals in Cross-Cultural Psychology', Journal of Cross-Cultural
Psychology, Vol. 40, No. 4, 627-648, 2009.

The best place to get preprints or more information on all related publications
is:  http://people.brunel.ac.uk/%7Ehsstffg/bibliography-by-topic.html

Dear all,

There will be a CHREST tutorial this summer at CogSci 2010: see
http://cognitivesciencesociety.org/conference2010/tutorials.html for details.

We will be providing an introduction to cognitive modelling using CHREST,
explaining all the main types of model which can be developed, as well as
illustrating the models with running simulations.

   best wishes,

       Peter.

Research Fellow in Psychology
'Cognitive Models of Problem Gambling: Testing the Implicit-Learning Hypothesis'
Brunel University - School of Social Sciences, Centre for the Study of Expertise

Vacancy Ref: CLA0166-1
Salary R1 £32,019 - £37,812 pa incl. London Weighting
Full-time post, fixed term for 12 months

Applications are invited for a researcher position to work on an project funded
by the British Academy on 'Cognitive Models of Problem Gambling: Testing the
Implicit-Learning Hypothesis'. This ambitious project aims to extend the CHREST
(http://chrest.info) computational model so that it will simulate key phenomena
in problem gambling. Problem gambling is gambling behaviour that produces
negative consequences for the gambler, their family or the community. In spite
of substantial empirical research, there are currently no detailed models of
problem gambling.

The successful candidate will work under the direction of Prof F Gobet
(fernand.gobet@...). S/he will have good knowledge of cognitive or
clinical psychology, computer modelling, and programming. Experience in at least
one of Java, C++, Lisp and/or Scheme is required. (CHREST is programmed in Lisp
and Java). Ideally, the candidate should have post-doctoral experience in one or
several cognitive-modelling project(s).

Closing date for applications: 17 September 2010

For further details and to apply please visit https://jobs.brunel.ac.uk/WRL/
Human Resources, Brunel University, Uxbridge, Middlesex UB8 3PH

Hi,

You may find the following interview interesting:

http://cacm.acm.org/magazines/2010/6/92472-an-interview-with-ed-feigenbaum/fullt\
ext

Ed Feigenbaum created the first version of EPAM, in 1959, and so helped start
the line of research leading to CHREST and MOSAIC!

   cheers,

      Peter.

Hello,

the discrimination network is made of nodes; these nodes are also called chunks.
A template is a chunk that is made both of constant information and of slots.
The constant information is basically the same information that is found in an
ordinary chunk. The slots enable variable information (e.g., in chess, type of
piece, type of square) to be encoded rapidly.

I have attached an article that provides additional information about templates,
their formation, and  their relation with the discrimination network, and that
also shows concrete examples of templates learnt by CHREST in the domain of
chess. See in particular pages 162 and 166.

Please let me know if this has not clarified your question.

Best wishes,

Fernand Gobet

--------------------------------------------------------
Fernand Gobet, PhD
Professor of Psychology
School of Social Sciences
Centre for the Study of Expertise, Director
Brunel University
Uxbridge, Middlesex, UB8 3PH
United Kingdom

Phone: +44 (1895) 265484
Fax:     +44 (1895) 237573

fernand.gobet@...
http://people.brunel.ac.uk/~hsstffg/


________________________________
From: chrest@yahoogroups.com [chrest@yahoogroups.com] On Behalf Of Marcelino
Sente [zaratruta@...]
Sent: 24 November 2010 20:50
To: chrest@yahoogroups.com
Subject: [chrest] What is a template?



Hi...

I have a question about the template theory.
Formally speaking, what is a template?
Is a structure tha is composed by a discrimination node (that is connected to
other nodes in the discrimination network) and associated chunks? I don't
understand the relation between the templates, chunks, discrimination node and
discrimination network...

I am interested in to use the templates theory to build an expert model in
Geology. I intend to incorporate this model in an expert system.

Thanks!

Dear Chrest members,

A Happy New Year to you all.

This annual reminder is to reassure you that CHREST development and research is
ongoing and active!  More information and material to download is available from
the CHREST website at: http://chrest.info/home.html  If you have any relevant
publications or material you would like linked in from the website, do let
either myself or Fernand know.

The CHREST software is also improving in functionality and the range of data it
covers (the latest version is on the website).  Please contact me if you use it,
break it, or would like some pointers on how to apply it to your own data.

Over the last year, there were many publications related to CHREST and MOSAIC,
see below for a selected list. Please contact the authors directly for more
information. Also, a tutorial on EPAM/CHREST was run at Cogsci, and a few more
members have joined the mailing list here - welcome!

All the best for 2011,

Peter.

Some publications from 2010.

General about CHREST:

Gobet, F., & Lane, P. C. R. (2010). The CHREST architecture of cognition: The
role of perception in general intelligence. In Baum, E., Hutter, M., &
Kitzelmann, E. (Eds), Proceedings of the Third Conference on Artificial General
Intelligence (pp. 7-12). Amsterdam: Atlantis Press.

Lane, P. C. R. & Gobet, F. (in press). Perception in chess and beyond:
Commentary on Linhares and Freitas (2010). New Ideas in Psychology.

Problem solving:

Bilalić, M., McLeod, P., & Gobet, F. (2010). The mechanism of the
Einstellung (set) effect: A pervasive source of cognitive bias. Current
Directions of Psychological Science, 19, 111-115

Language/MOSAIC:

Jones, G., Tamburelli, M., Watson, S. E., Gobet, F., & Pine, J. M. (2010).
Lexicality and frequency in Specific Language Impairment: Accuracy and error
data from two non-word repetition tests. Journal of Speech, Language, and
Hearing Research, 53, 1642-1655.

Freudenthal, D., Pine, J. M., & Gobet, F. (2010). Explaining quantitative
variation in the rate of Optional Infinitive errors across languages: A
comparison of MOSAIC and the Variational Learning Model. Journal of Child
Language, 37, 643-669.

Upcoming: Presentation at the 8th Nordic Conference on Prevalence, Prevention,
Treatment and Responsible Gaming, June 13-15th 2011, Reykjavik, Iceland

"Development of Problem Gambling: Towards a cognitive Model" (Marvin Schiller
and Fernand Gobet)

The rigorous study of the aetiology of problem gambling is key for
understanding, preventing and treating the disorder. Recent theories suggest a
complex interplay of factors in the development of gambling problems. These
factors include individual predispositions and motivations, the processing of
cues from the gaming environment, reinforcement, the role of emotions, and
biases and beliefs held by the player. Computer modelling is an excellent tool
for developing well-specified and testable theories of such complex
interactions, but surprisingly, this has hardly been exploited in the case of
problem gambling. Using the cognitive architecture CHREST, we develop models for
investigating the interplay of cognitive and affective processing during play,
drawing on recent theories of reinforcement, implicit learning and affective
memory. The CHREST framework was developed as a computational model for human
perception, learning, memory, and problem solving, with a par ticular focus on
human perception and attention. It has proved to accurately model aspects of
human cognition and exper tise in various domains. In this talk, we present our
first results pertaining to the modelling of slot machine play.

CALL FOR PARTICIPATION: CHREST Tutorial -  An Introduction to Cognitive
Modelling, 14 Sep, 2011, UK

+++ CHREST Tutorial:  An Introduction to Cognitive Modelling +++

Brunel University, London, UK, September 14th, 2011
http://www.gamblingresearch.net/chrest-tutorial


CHREST (Chunk Hierarchy and REtrieval STructures) is a comprehensive
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: acquisition of syntactic categories, expert
behaviour, concept formation, implicit learning, and the acquisition of multiple
representations in physics for problem solving, and gambling. The aim of this
workshop 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. Participants in this tutorial will:

- 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
- Be introduced to the implementation of CHREST in sufficient detail to begin
modelling data in their own domain

The tutorial is held by Prof. Fernand Gobet, Dr. Peter Lane, and Dr.
Marvin Schiller.

- Fernand Gobet (http://www.brunel.ac.uk/~hsstffg/) 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; problem gambling; natural and artifical intelligence; and the fusion
between perceptual and conceptual knowledge.

- Peter Lane (http://homepages.feis.herts.ac.uk/~comqpcl/
<http://homepages.feis.herts.ac.uk/~comqpcl/>) 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 machine learning.

- Marvin Schiller (http://www.marvin-schiller.de
<http://www.marvin-schiller.de/>) 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.

+++ Organisers +++

Fernand Gobet and Marvin Schiller, Brunel University, London, UK

+++ Further Information/Registration +++

Please see
http://www.gamblingresearch.net/chrest-tutorial
or contact the organisers.

Hi,

We are experimenting with the use of twitter for announcements
of papers and the like related to CHREST.

If you use twitter and want to follow along, we are at @chrest_news - there is a
link on http://chrest.info

If you don't use twitter, you can still see the latest news in the display box
on http://chrest.info

More substantial announcements and summaries will still be made through this
mailing list.

Thanks for your continuing interest in CHREST!

   cheers,

      Peter.