From rsun at cecs.missouri.edu Wed May 2 22:13:25 2001
From: rsun at cecs.missouri.edu (rsun at cecs.missouri.edu)
Date: Wed, 02 May 2001 21:13:25 -0500
Subject: Special issue on multi-agent learning [Cognitive Systems Research]
Message-ID:
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COGNITIVE SYSTEMS RESEARCH
Special Issue
-- Multi-disciplinary studies of multi-agent
learning --
special issue editor: Ron Sun
(rsun at cecs.missouri.edu)
Cognitive Systems Research
Volume 2, Issue 1, April 2001
Ron Sun
Editorial:
Individual action and collective function:
>>From sociology to
multi-agent
learning
1-3
(PDF 42.3 Kb)
Cristiano Castelfranchi
The theory of social functions: challenges
for computational
social science and multi-agent
learning 5-38
(PDF 425.2 Kb)
Tom R. Burns and Anna Gomoli?ska
Socio-cognitive mechanisms of belief change
- Applications of
generalized game theory to belief revision,
social fabrication,
and self-fulfilling
prophesy 39-54
(PDF 139.5 Kb)
Michael L. Littman
Value-function reinforcement learning in
Markov games
(PDF 108 Kb)
55-66
Junling Hu and Michael P. Weliman
Learning about other agents in a dynamic
multiagent system
(PDF 515.3 Kb)
67-79
Maja J. Mataric
Learning in behavior-based multi-robot
systems: policies,
models, and other
agents
81-93
(PDF 295.6 Kb)
? Copyright 2001, Elsevier Science, All rights
reserved.
~==============================================================
Please see:
http://www.elsevier.nl/gej-ng/10/15/16/58/25/show/toc.htt
or
http://www.cecs.missouri.edu/~rsun/journal.html
for abstracts and full papers in PDF
===========================================================================
Prof. Ron Sun
http://www.cecs.missouri.edu/~rsun
CECS Department phone:
(573) 884-7662
University of Missouri-Columbia fax:
(573) 882 8318
201 Engineering Building West
Columbia, MO 65211-2060 email:
rsun at cecs.missouri.edu
http://www.cecs.missouri.edu/~rsun
http://www.cecs.missouri.edu/~rsun/journal.html
http://www.elsevier.com/locate/cogsys
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Table of Contents for Cognitive Systems Research
- Full text files can be viewed and printed using version 3.01 of the Adobe Acrobat Reader or higher.
Download here.
- For recent issues with abstracts only, full text files will follow shortly.
Table of Contents for
Cognitive Systems Research
Volume 2, Issue 1,
April 2001
- Ron Sun
- Individual action and collective function: From sociology to multi-agent learning
-
[Abstract]
[Full text]
(PDF 42.3 Kb)
|
1-3 |
- Cristiano Castelfranchi
- The theory of social functions: challenges for computational social science and multi-agent learning
-
[Abstract]
[Full text]
(PDF 425.2 Kb)
|
5-38 |
- Tom R. Burns and Anna Gomoliñska
- Socio-cognitive mechanisms of belief change - Applications of generalized game theory to belief revision, social fabrication, and self-fulfilling prophesy
-
[Abstract]
[Full text]
(PDF 139.5 Kb)
|
39-54 |
- Michael L. Littman
- Value-function reinforcement learning in Markov games
-
[Abstract]
[Full text]
(PDF 108 Kb)
|
55-66 |
- Junling Hu and Michael P. Weliman
- Learning about other agents in a dynamic multiagent system
-
[Abstract]
[Full text]
(PDF 515.3 Kb)
|
67-79 |
- Maja J. Matari
- Learning in behavior-based multi-robot systems: policies, models, and other agents
-
[Abstract]
[Full text]
(PDF 295.6 Kb)
|
81-93 |
-
- Situated and Embodied Cognition
-
[Abstract]
[Full text]
(PDF 32.5 Kb)
|
95-96 |
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Workshop on Cognitive Agents and Multi-Agent Interaction
at ICCS2001 (Aug 27-31, Beijing)
Background
Computational models of cognitive agents that incorporate aspects of
reactive, deliberative, goal-driven, adaptive, autonomous, learning,
communicative, competitive, and collaborative behaviors provide an
attractive paradigm for addressing foundational questions in Cognitive Science.
Artificial intelligence, in its early days, started out with the goal of
designing intelligent agents. However, faced with the enormous complexity of
the task, the focus soon shifted to modelling specific aspects of
intelligence, often in highly restricted domains. In recent years, some
researchers have begun to focus on putting the pieces together with the goal
of designing intelligent agents. There is also a growing interest in
multi-agent systems that address aspects of coordination and communication
among groups of agents.
On the other hand, historically, the main focus of research in Cognitive
Science has been on specific components of cognition (e.g., perception,
memory, learning, language). Recent developments in computational modelling
of cognitive agents and multi-agent systems provide new avenues for
addressing foundational questions in Cognitive Science
Against this background, the workshop seeks to bring together cognitive
scientists with diverse backgrounds and expertise to discuss research
problems and exchange recent results that have broad implications for
understanding cognition in computational terms at the whole systems level.
We invite full papers, extended abstracts, or position papers on all aspects
of cognitive agents and multi-agent interaction including, but not limited
to:
* Cognitive architectures (including alternative formalisms for modelling
reactive, deliberative, autonomous, rational, learning, communicating
agents).
* Ontologies, knowledge representations, and inference for cognitive
agents and multi-agent systems (including reasoning about space, time,
and behaviors).
* Multi-agent organizations (e.g., democracies, economies, cultures, and
their
coordination structures and mechanisms).
* Learning and adaptation in cognition (including learning in dynamic
environments consisting of active, distributed information sources).
* Language and communication (signs, symbols, syntax,
semantics, and pragmatics of communication among cognitive agents).
* Multi-agent coordination (cooperation, competition etc. in multi-agent
societies).
* Computational abstractions, languages, and tools for modelling
cognitive agents and multi-agent interaction.
* Evolution of cognitive behavior.
The workshop is open to all members of the Cognitive Science community.
However, the number of participants is limited. Consequently, authors of
accepted papers will be given priority in terms of attendance. All workshop
participants must register for the Cognitive Science conference. The
organizers will make a concerted effort to ensure a good mix of established
researchers, graduate students and junior researchers with diverse
backgrounds.
Important Dates and Deadlines
* Deadline for submission of full papers (up to 6 pages) or abstract (1
page): May 15, 2001.
* Notification of acceptance: May 31, 2001.
* Deadline for receipt of camera-ready papers: June 30, 2001
Note:
A special issue of Cognitive System Research is planned for the selected
papers of the Workshop (to be edited by Charles Ling, Vasant Honavar, and Ron
Sun). See http://www.cecs.missouri.edu/~rsun/journal.html
Instructions for Authors
Electronic submission (postscript, pdf, or MS Word) is strongly encouraged.
Each paper will be refereed for technical soundness, relevance,
significance, and clarity of presentation.
Send all submissions to:
Prof. Charles Ling
Department of Computer Science
University of Western Ontario
ling at csd.uwo.ca
http://www.csd.uwo.ca/faculty/ling
Organizers
Prof. Vasant Honavar
Department of Computer Science
Iowa State University
Ames, IA 50011
honavar at cs.iastate.edu
http://www.cs.iastate.edu/~honavar/
Prof. Charles Ling
Department of Computer Science
University of Western Ontario
ling at csd.uwo.ca
http://www.csd.uwo.ca/faculty/ling
Prof. Ron Sun
CECS Department
University of Missouri-Columbia
201 Engineering Building West
Columbia, MO 65211-2060
rsun at cecs.missouri.edu
http://www.cecs.missouri.edu/~rsun
For further details, see:
http://www.cecs.missouri.edu/~rsun/wsp01.html
--
===========================================================================
Prof. Ron Sun http://www.cecs.missouri.edu/~rsun
CECS Department phone: (573) 884-7662
University of Missouri-Columbia fax: (573) 882 8318
201 Engineering Building West
Columbia, MO 65211-2060 email: rsun at cecs.missouri.edu
http://www.cecs.missouri.edu/~rsun
http://www.cecs.missouri.edu/~rsun/journal.html
http://www.elsevier.com/locate/cogsys
===========================================================================
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01.html"
Workshop on Cognitive Agents and Multi-agent Interaction
Workshop on Cognitive Agents and Multi-Agent Interaction
A symposium at ICCS2001 (Aug 27-31,
Beijing, China)
What's New:
A special issue of Cognitive
System Research is planned for the selected papers accepted by the
Workshop (to be
edited by Charles Ling, Vasant Honavar, and Ron Sun).
Background
Computational models of cognitive agents that incorporate aspects
of reactive, deliberative, goal-driven, adaptive, autonomous,learning,
communicative, competitive, and collaborative behaviors and multi-agent
interaction provide an attractive paradigm for addressing foundational
questions in Cognitive Science.
Artificial intelligence, in its early days, started out with the goal
of designing intelligent agents. However, faced with the enormous complexity
of the task, the focus soon shifted to modelling specific aspects of intelligence,
often in highly restricted domains. In recent years, some researchers have
begun to focus on putting the pieces together with the goal of designing
intelligent agents. There is also a growing interest in multi-agent systems
that address aspects of coordination and communication among groups of
agents.
On the other hand, historically, the main focus of research in Cognitive
Science has been on specific components of cognition (e.g., perception,
memory, learning, language). Recent developments in computational modelling
of cognitive agents and multi-agent systems provide new avenues for
addressing foundational questions in Cognitive Science
Against this background, the workshop seeks to bring together cognitive
scientists with diverse backgrounds and expertise to discuss research problems
and exchange recent results that have broad implications for understanding
cognition in computational terms at the whole systems level. We invite
full papers, extended abstracts, or position papers on all aspects of cognitive
agents and multi-agent interaction including, but not limited
to:
-
Cognitive Architectures (including alternative formalisms for modelling
reactive, deliberative, autonomous, rational, learning, communicating
agents).
-
Ontologies, knowledge representations, and inference for cognitive
agents and multi-agent systems (including reasoning about space, time,
and behaviors).
-
Multi-agent organizations (e.g., democracies, economies, societies, and
associated coordination structures and mechanisms).
-
Learning and adaptation in cognition (including learning in dynamic
environments consisting of active, distributed information
sources).
-
Language and communication (signs, signals, symbols, syntax, semantics,
and pragmatics of communication among cognitive agents).
-
Multi-agent coordination (cooperation, competition etc. in multi-agent
societies).
-
Computational abstractions, languages, and tools for modelling
cognitive agents and multi-agent interaction.
-
Evolution of cognitive behavior .
The workshop is open to all members of the Cognitive Science community.
However, the number of participants is limited. Consequently, authors
of accepted papers will be given priority in terms of attendance. All workshop
participants must register for the Cognitive Science conference. The organizers
will make a concerted effort to ensure a good mix of established researchers,
graduate students and junior researchers with diverse backgrounds.
Important Dates and Deadlines
-
Deadline for submission of full papers (up to 6 pages) or abstract (1 page):
May 15, 2001.
-
Notification of acceptance: May 31, 2001.
-
Deadline for receipt of camera-ready papers: June 30, 2001
Instructions for Authors
Electronic submission (postscript, pdf, or MS Word) is strongly encouraged.
Each paper will be refereed for technical soundness, relevance, significance,
and clarity of presentation.
Organizers
Prof. Vasant Honavar
Department of Computer Science
Iowa State University
Ames, IA 50011
honavar at cs.iastate.edu
http://www.cs.iastate.edu/~honavar/
Prof. Charles Ling
Department of Computer Science
University of Western Ontario
ling at csd.uwo.ca
http://www.csd.uwo.ca/faculty/ling
Prof. Ron Sun
CECS Department
University of Missouri-Columbia
201 Engineering Building West
Columbia, MO 65211-2060
rsun at cecs.missouri.edu
http://www.cecs.missouri.edu/~rsun
--------------B9DBAB7C8080E2B2379A7ABF--
From Kevin.Gluck at williams.af.mil Fri May 4 20:50:54 2001
From: Kevin.Gluck at williams.af.mil (Kevin.Gluck at williams.af.mil)
Date: Fri, 4 May 2001 17:50:54 -0700
Subject: architecture comparisons
Message-ID:
I am seeking published (or in press) papers that compare computational
cognitive modeling architectures. An example of this is the comparison of
production system architectures in chapter 12 of The Atomic Components of
Thought. Another example is Todd Johnson's 1997 paper on Control in ACT-R
and Soar, and also Newell, Rosenbloom, and Laird's (1989) comparison of Soar
and ACT*.
Also of interest are papers that compare the features and/or predictions of
two or more models created in different modeling architectures.
I am not restricting my search to papers that involve ACT-R. If you know of
any papers that fit either of the descriptions above (and that are not the
three already mentioned), I would very much appreciate your replying with a
reference, softcopy, or point of contact.
Many thanks,
Kevin
----------------------------------------------
Kevin A. Gluck, PhD
Air Force Research Laboratory
Warfighter Training Research Division
6030 S. Kent St.
Mesa, AZ 85212-6061
Tel: 480-988-6561 ext. 234 / DSN 474-6234
Fax: 480-988-6285
From nbrannon at cs.wright.edu Sat May 5 12:40:25 2001
From: nbrannon at cs.wright.edu (Nathan Brannon)
Date: Sat, 5 May 2001 12:40:25 -0400 (EDT)
Subject: architecture comparisons
Message-ID:
>
> I am seeking published (or in press) papers that compare computational
> cognitive modeling architectures. An example of this is the comparison of
> production system architectures in chapter 12 of The Atomic Components of
> Thought. Another example is Todd Johnson's 1997 paper on Control in ACT-R
> and Soar, and also Newell, Rosenbloom, and Laird's (1989) comparison of Soar
> and ACT*.
>
Kevin,
A couple of conceptual reviews are included in my dissertation and the
following published article:
Lin, H., Koubek, R., Haas, M., Phillips, C., & Brannon, N. (2001). Using
cognitive models for adaptive control and display. Automedica, 19,
211-239.
________________________________________________________________
Nathan G. Brannon
Ph.D. Candidate
Biomedical, Industrial, and Human Factors Engineering
Wright State University
BIE Dept. / 207 RC
Dayton, Ohio 45435
Ph: 937.775.5044 or 937.775.5152
Mobile: 937.272.3726
Fax: 937.775.7364
e-mail: nbrannon at cs.wright.edu
Lab URL: www.cs.wright.edu/~heats/
Personal URL: home.earthlink.net/~ngbrannon
From klahr at andrew.cmu.edu Sat May 5 13:34:33 2001
From: klahr at andrew.cmu.edu (David Klahr)
Date: Sat, 05 May 2001 13:34:33 -0400
Subject: architecture comparisons
Message-ID:
There is a chapter in Shrager, Langley Klahr on the geneology of today's
production systems, that you might find interesting, and I did a chapter with
Brian MacWhinney that compares, from a cognitive development viewpoint,
production systems and connectionist systems. Both of these are cast at a
pretty general level, and do not get into anything nitty gritty.
Neches, R., Langley, P., & Klahr, D. (1987). Learning, development and
production systems. In D. Klahr, P. Langley, & R. Neches (Eds.), Production
system models of learning and development. Cambridge, MA: MIT Press.
Klahr, D., & MacWhinney, B. (1998) Information Processing. In D. Kuhn & R. S.
Siegler (Eds.), W. Damon (Series Ed.). Handbook of child psychology (5th ed.):
Vol. 2: Cognition, perception, and language. New York: Wiley.
Kevin.Gluck at williams.af.mil wrote:
> Folks,
>
> I am seeking published (or in press) papers that compare computational
> cognitive modeling architectures. An example of this is the comparison of
> production system architectures in chapter 12 of The Atomic Components of
> Thought. Another example is Todd Johnson's 1997 paper on Control in ACT-R
> and Soar, and also Newell, Rosenbloom, and Laird's (1989) comparison of Soar
> and ACT*.
>
> Also of interest are papers that compare the features and/or predictions of
> two or more models created in different modeling architectures.
>
> I am not restricting my search to papers that involve ACT-R. If you know of
> any papers that fit either of the descriptions above (and that are not the
> three already mentioned), I would very much appreciate your replying with a
> reference, softcopy, or point of contact.
>
> Many thanks,
>
> Kevin
>
> ----------------------------------------------
> Kevin A. Gluck, PhD
> Air Force Research Laboratory
> Warfighter Training Research Division
> 6030 S. Kent St.
> Mesa, AZ 85212-6061
> Tel: 480-988-6561 ext. 234 / DSN 474-6234
> Fax: 480-988-6285
From N.A.Taatgen at ai.rug.nl Mon May 7 05:05:15 2001
From: N.A.Taatgen at ai.rug.nl (Niels Taatgen)
Date: Mon, 07 May 2001 11:05:15 +0200
Subject: architecture comparisons
Message-ID:
In chapter 2 of my thesis I compare ACT-R, Soar, 3CAPS and EPIC. I summarize my
conclusions in a "consumer-test"-like table (without the "best-buy" marks: I
stick to academic modesty and let the reader conclude what I want them to
conclude).
You can retrieve the chapter from the University Library page:
http://www.ub.rug.nl/eldoc/dis/ppsw/n.a.taatgen/
Niels Taatgen
From bej at cs.cmu.edu Mon May 7 07:49:33 2001
From: bej at cs.cmu.edu (Bonnie E. John)
Date: Mon, 07 May 2001 07:49:33 -0400
Subject: architecture comparisons
Message-ID:
>Also of interest are papers that compare the features and/or predictions of
>two or more models created in different modeling architectures.
Kevin,
Yannick Lallement and I wrote a paper comparing an EPIC model with two Soar
models (one in the "released" version of Soar circa 1998 and one in an
"experimental" version of Soar that Ron Chong used).
Lallement, Y., & John, B. E. (1998) Cognitive architecture and modeling
idiom: An examination of three models of the Wicken's task. Proceedings of
the Twentieth Annual Conference of the Cognitive Science Society, August 1998.
Conclusions in that paper:
+ All three architectures were adequate to make close quantitative
predictions of a dual-task.
+ The "idiom" was as important as the architecture (where "idiom" is a
"programming style" within an architecture).
+ Parallelism in cognition didn't matter because the time to perform the
task was limited but the actions of the perceptual and motor peripherals.
+ I'm not sure you can actually find a task that differentiates between
these cognitive architectures on performance time measures, because fast
ones with little thinking will be dominated by the peripherals, and slower
ones with a lot of thinking will be subject to individual differences in
task strategies and prior knowledge. (I didn't say it in that paper, but I
think we'll have to go to learning to differentiate between these
architectures, but of course that leaves out EPIC, and that's REALLY hard
to do because learning has the problems above (being dependent on
individual strategies and prior knowledge)).
Bonnie
From tkelley at arl.army.mil Mon May 7 10:12:09 2001
From: tkelley at arl.army.mil (Troy Kelley)
Date: Mon, 7 May 2001 10:12:09 -0400
Subject: architecture comparisons
Message-ID:
Kevin,
Don't forget the highly referenced Pew and Mavor book Modeling Human and
Organizational Behavior. The table starting on page 98 offers a nice
comparison of architectures.
Troy
Kevin.Gluck at williams.af.mil on 05/04/2001 08:50:54 PM
To: act-r-users at andrew.cmu.edu
cc:
Subject: architecture comparisons
Folks,
I am seeking published (or in press) papers that compare computational
cognitive modeling architectures. An example of this is the comparison of
production system architectures in chapter 12 of The Atomic Components of
Thought. Another example is Todd Johnson's 1997 paper on Control in ACT-R
and Soar, and also Newell, Rosenbloom, and Laird's (1989) comparison of
Soar
and ACT*.
Also of interest are papers that compare the features and/or predictions of
two or more models created in different modeling architectures.
I am not restricting my search to papers that involve ACT-R. If you know
of
any papers that fit either of the descriptions above (and that are not the
three already mentioned), I would very much appreciate your replying with a
reference, softcopy, or point of contact.
Many thanks,
Kevin
----------------------------------------------
Kevin A. Gluck, PhD
Air Force Research Laboratory
Warfighter Training Research Division
6030 S. Kent St.
Mesa, AZ 85212-6061
Tel: 480-988-6561 ext. 234 / DSN 474-6234
Fax: 480-988-6285
From ritter at ist.psu.edu Wed May 9 11:42:00 2001
From: ritter at ist.psu.edu (Frank E. Ritter)
Date: Wed, 9 May 2001 11:42:00 -0400
Subject: architecture comparisons
Message-ID:
Gary Jones has written up a comparison between Soar and ActR. The
long version is available on the web
in the ONREUR Newsletter, and a more condensed version was published in AISBQ:
Jones G. (1996). The
architectures of Soar and ACT-R, and how they model human behaviour.
Artificial Intelligence and
Simulation of Behaviour Quarterly, Winter 1996, 96, 41-44.
(if it's not longer at http://www.ehis.navy.mil:80/gjones.htm, them
email Gary at G.Jones at derby.ac.uk)
Pew & Mavor, of course.
Ritter, F. E., Shadbolt, N. R., Elliman, D., Young, R., Gobet, F., &
Baxter, G. D. (2001). Techniques for modeling human performance in
synthetic environments: A supplementary review. Wright-Patterson Air
Force Base, OH: Human Systems Information Analysis Center.
This is just about in page proofs. I can pass you the tech report
now, or the pageproofs, late late this week or by the end of June.
Cheers,
Frank
>Folks,
>
>I am seeking published (or in press) papers that compare computational
>cognitive modeling architectures. An example of this is the comparison of
>production system architectures in chapter 12 of The Atomic Components of
>Thought. Another example is Todd Johnson's 1997 paper on Control in ACT-R
>and Soar, and also Newell, Rosenbloom, and Laird's (1989) comparison of Soar
>and ACT*.
>
>Also of interest are papers that compare the features and/or predictions of
>two or more models created in different modeling architectures.
>
>I am not restricting my search to papers that involve ACT-R. If you know of
>any papers that fit either of the descriptions above (and that are not the
>thre
>e already mentioned), I would very much appreciate your replying with a
>reference, softcopy, or point of contact.
>
>Many thanks,
>
>Kevin
>
>----------------------------------------------
>Kevin A. Gluck, PhD
>Air Force Research Laboratory
>Warfighter Training Research Division
>6030 S. Kent St.
>Mesa, AZ 85212-6061
>Tel: 480-988-6561 ext. 234 / DSN 474-6234
>Fax: 480-988-6285
--
Frank Ritter at ist.psu.edu
School of Information Sciences and Technology
The Pennsylvania State University
512 Rider
University Park, PA 16801-3857
ph. (814) 865-4453 fax (814) 865-5604
http://ritter.ist.psu.edu
From gray at gmu.edu Thu May 10 16:37:59 2001
From: gray at gmu.edu (Wayne D Gray)
Date: Thu, 10 May 2001 16:37:59 -0400
Subject: Register now for ICCM-2001
Message-ID:
The Fourth International Conference on Cognitive Modeling.
http://hfac.gmu.edu/~iccm/
The meeting will be held from July 26 thru July 28.
The program will be posted on the web site next week.
We have an international collection of cognitive modelers of all
types including connectionist models, symbol-system models, baysian
models, math models, models of emotion, models of personality, models
of the brain, models of memory and language, models that drive cars
(while using their cellular phones), models that do Air Traffic
Control Tasks, and so on and so forth.
Hope to see you here (Fairfax Virginia, just outside Washington, DC)
this summer!
Wayne
--
_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
Wayne D. Gray, Program Director
HUMAN FACTORS & APPLIED COGNITIVE PROGRAM
SNAIL-MAIL ADDRESS (FedX et al) VOICE: +1 (703) 993-1357
George Mason University FAX: +1 (703) 993-1330
ARCH Lab/HFAC Program ************************
MSN 3f5 * Work is infinite, *
Fairfax, VA 22030-4444 * time is finite, *
http://hfac.gmu.edu/~gray * plan accordingly. *
_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
From gray at gmu.edu Sun May 13 13:09:51 2001
From: gray at gmu.edu (Wayne Gray)
Date: Sun, 13 May 2001 13:09:51 -0400
Subject: ICCM-2001 Program now on line
Message-ID:
Content-Type: text/plain; charset="us-ascii" ; format="flowed"
ICCM-2001-July 26-28-ICCM-2001-July 26-28-ICCM-2001-July
26-28-ICCM-2001-July 26-28-ICCM-2001
The Program for ICCM-2001 is now on-line.
http://hfac.gmu.edu/~iccm/
While you are there, don't forget to register. Early registration
fees will be in place until June 15th. Fees are $25 per student and
$125 for the rest of us. Fees include three breakfasts, three
lunches, two dinners, plus food and drink during the break. Of
course, fees also include a Proceedings (published by Erlbaum), and
three days of great talks and discussions.
ICCM-2001-July 26-28-ICCM-2001-July 26-28-ICCM-2001-July
26-28-ICCM-2001-July 26-28-ICCM-2001
The goal of ICCM-2001 is to bring researchers from diverse
backgrounds together to compare cognitive models, to evaluate models
using human data, and to further the development, accumulation, and
integration of cognitive theory. We expect to have researchers from a
wide variety of modeling approaches, including symbolic, production
system, connectionist, Bayesian, dynamic systems, and various hybrid
approaches. We also expect to have work being presented from a wide
variety of domains, ranging from low-level perception and attention
to higher-level problem-solving and learning.
--
_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
Wayne D. Gray, Program Director
HUMAN FACTORS & APPLIED COGNITIVE PROGRAM
SNAIL-MAIL ADDRESS (FedX et al) VOICE: +1 (703) 993-1357
George Mason University FAX: +1 (703) 993-1330
ARCH Lab/HFAC Program ************************
MSN 3f5 * Work is infinite, *
Fairfax, VA 22030-4444 * time is finite, *
http://hfac.gmu.edu/~gray * plan accordingly. *
_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
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ICCM-2001 Program now on line
ICCM-2001-July
26-28-ICCM-2001-July 26-28-ICCM-2001-July 26-28-ICCM-2001-July
26-28-ICCM-2001
The Program for ICCM-2001 is now on-line.
http://hfac.gmu.edu/~iccm/
While you are there, don't forget to register. Early registration
fees will be in place until June 15th. Fees are $25 per student and
$125 for the rest of us. Fees include three breakfasts, three lunches,
two dinners, plus food and drink during the break. Of course, fees
also include a Proceedings (published by Erlbaum), and three days of
great talks and discussions.
ICCM-2001-July
26-28-ICCM-2001-July 26-28-ICCM-2001-July 26-28-ICCM-2001-July
26-28-ICCM-2001
The goal of ICCM-2001 is to bring
researchers from diverse
backgrounds together to compare cognitive models, to evaluate
models
using human data, and to further the development, accumulation,
and
integration of cognitive theory. We expect to have researchers from
a
wide variety of modeling approaches, including symbolic,
production
system, connectionist, Bayesian, dynamic systems, and various
hybrid
approaches. We also expect to have work being presented from a
wide
variety of domains, ranging from low-level perception and
attention
to higher-level problem-solving and learning.
--
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Wayne D. Gray, Program Director
HUMAN FACTORS & APPLIED COGNITIVE PROGRAM
SNAIL-MAIL ADDRESS (FedX et al) VOICE: +1
(703) 993-1357
George Mason
University FAX: +1 (703) 993-1330
ARCH Lab/HFAC
Program ************************
MSN
3f5
* Work is infinite, *
Fairfax, VA
22030-4444 * time is finite,
*
http://hfac.gmu.edu/~gray * plan accordingly. *
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--============_-1222348699==_ma============--
From cl at andrew.cmu.edu Wed May 23 12:11:04 2001
From: cl at andrew.cmu.edu (Christian Lebiere)
Date: Wed, 23 May 2001 12:11:04 -0400
Subject: Reminder: 2001 ACT-R Post-Graduate Summer School
Message-ID:
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This is a reminder that registrations for the 2001 ACT-R Post-Graduate
Summer School (July 21 to 25) are due JUNE 1. An updated announcement and
registration form is enclosed. A few remarks:
* This Post-Graduate Summer School is targeted at experienced users of
ACT-R who want to be involved in the latest architectural developments. It
is not the usual summer school (for learning to use ACT-R) or workshop (for
presenting research results).
* For people coming from farther than DC or Pittsburgh, it is probably best
to fly into DC and drive from there. If needed, let us know and we can
coordinate ride-sharing from DC.
* Email registration is ok.
* Do not contact Coolfont yet. We are gathering registrations and will
forward the attendance roster to Coolfont. After that, we will notify you
so you can contact Coolfont directly to register. Sorry for the
inconvenience but it was the only feasible setup.
* If you would like to attend but prefer to make your own housing
arrangements, you should still register by checking option 1 on the updated
registration form.
* Participants who are inclined are encouraged to bring their families.
Please specify in your registration the number of family members (and age
of children) and we will try to find compatible housemates.
Let me know if you have any further question.
Thank you,
Christian
Christian Lebiere Newell-Simon Hall 3611
Research Scientist Human-Computer Interaction Institute
Tel: (+1) 412-268-5920 School of Computer Science
Fax: (+1) 412-268-1266 Carnegie Mellon University
Email: cl+ at cmu.edu 5000 Forbes Avenue
URL: www.andrew.cmu.edu/~cl Pittsburgh, PA 15213
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--==========25005330==========--
From ema at msu.edu Fri May 25 21:19:40 2001
From: ema at msu.edu (Erik M. Altmann)
Date: Fri, 25 May 2001 18:19:40 -0700
Subject: A hat trick for decay
Message-ID:
Tower of Hanoi, task switching, and the Stroop effect...
Erik.
Altmann, E. M. & Trafton, J. G. (in press). Memory for goals: An
activation-based model. Cognitive Science.
Goal-directed cognition is often discussed in terms of specialized
memory structures like the "goal stack." The goal-activation model
presented here analyzes goal-directed cognition in terms of the
general memory constructs of activation and associative priming. The
model embodies three predictive constraints: (1) the interference
level, which arises from residual memory for old goals; (1) the
strengthening constraint, which makes predictions about time to
encode a new goal; and (3) the priming constraint, which makes
predictions about the role of cues in retrieving pending goals. These
constraints are formulated algebraically and are tested through
simulation of latency and error data from the Tower of Hanoi, a
means-ends puzzle that depends heavily on suspension and resumption
of goals. Implications of the model for understanding intention
superiority, post-completion error, and effects of task interruption
are discussed. (http://www.msu.edu/~ema/goals)
Altmann, E. M. & Gray, W. D. (in press). Forgetting to remember: The
functional relationship of decay and interference. Psychological
Science.
Functional decay theory proposes that decay and interference,
historically viewed as competing accounts of forgetting, are instead
functionally related. The theory posits (1) that when an attribute
must be updated frequently in memory, its current value decays to
prevent interference with later values, and (2) the decay rate adapts
to the rate of memory updates. Behavioral predictions of the theory
were tested in a task-switching paradigm in which memory for the
current task had to be updated every few seconds, hundreds of times.
RT and error both increased gradually between updates, reflecting
decay of memory for the current task. This performance decline was
slower when updates were less frequent, reflecting a decrease in the
decay rate following a decrease in the update rate. A candidate
mechanism for controlled decay is proposed, the data are reconciled
with practice effects, and implications are discussed for models of
executive control. (http://www.msu.edu/~ema/forget)
Altmann, E. M. & Davidson, D. J. (2001). An integrative approach to
Stroop: Combining a language model and a unified cognitive theory.
To appear in Proceedings of the twenty second annual conference of
the Cognitive Science Society (Edinburgh, August 2001).
The rich empirical puzzle of the Stroop effect has traditionally been
approached with narrowly focused and somewhat atheoretical models. A
recent exception is a simulation model based on the WEAVER++ language
theory. The present model, WACT, combines components of WEAVER++ with
the memory and control processes of the ACT-R cognitive theory. WACT
accounts for the time course of inhibition from incongruent word
distractors, facilitation from congruent word distractors, the lack
of effect of color distractors, and the semantic gradient in
inhibition. WACT goes beyond WEAVER++ to account for Stroop
performance errors as well as latencies, and its implementation in a
unified cognitive theory opens doors to broader coverage of Stroop
phenomena than standalone models are likely to attain. Documented and
executable code for WACT is available for inspection and comment at
www.msu.edu/~ema/stroop. (http://www.msu.edu/~ema/stroop)
--
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
Erik M. Altmann
Department of Psychology
Michigan State University
East Lansing, MI 48824
517-353-4406 (voice)
517-353-1652 (fax)
ema at msu.edu
http://www.msu.edu/~ema
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
From ema at msu.edu Fri May 25 21:19:40 2001
From: ema at msu.edu (Erik M. Altmann)
Date: Fri, 25 May 2001 18:19:40 -0700
Subject: A hat trick for decay
Message-ID:
Tower of Hanoi, task switching, and the Stroop effect...
Erik.
Altmann, E. M. & Trafton, J. G. (in press). Memory for goals: An
activation-based model. Cognitive Science.
Goal-directed cognition is often discussed in terms of specialized
memory structures like the "goal stack." The goal-activation model
presented here analyzes goal-directed cognition in terms of the
general memory constructs of activation and associative priming. The
model embodies three predictive constraints: (1) the interference
level, which arises from residual memory for old goals; (1) the
strengthening constraint, which makes predictions about time to
encode a new goal; and (3) the priming constraint, which makes
predictions about the role of cues in retrieving pending goals. These
constraints are formulated algebraically and are tested through
simulation of latency and error data from the Tower of Hanoi, a
means-ends puzzle that depends heavily on suspension and resumption
of goals. Implications of the model for understanding intention
superiority, post-completion error, and effects of task interruption
are discussed. (http://www.msu.edu/~ema/goals)
Altmann, E. M. & Gray, W. D. (in press). Forgetting to remember: The
functional relationship of decay and interference. Psychological
Science.
Functional decay theory proposes that decay and interference,
historically viewed as competing accounts of forgetting, are instead
functionally related. The theory posits (1) that when an attribute
must be updated frequently in memory, its current value decays to
prevent interference with later values, and (2) the decay rate adapts
to the rate of memory updates. Behavioral predictions of the theory
were tested in a task-switching paradigm in which memory for the
current task had to be updated every few seconds, hundreds of times.
RT and error both increased gradually between updates, reflecting
decay of memory for the current task. This performance decline was
slower when updates were less frequent, reflecting a decrease in the
decay rate following a decrease in the update rate. A candidate
mechanism for controlled decay is proposed, the data are reconciled
with practice effects, and implications are discussed for models of
executive control. (http://www.msu.edu/~ema/forget)
Altmann, E. M. & Davidson, D. J. (2001). An integrative approach to
Stroop: Combining a language model and a unified cognitive theory.
To appear in Proceedings of the twenty second annual conference of
the Cognitive Science Society (Edinburgh, August 2001).
The rich empirical puzzle of the Stroop effect has traditionally been
approached with narrowly focused and somewhat atheoretical models. A
recent exception is a simulation model based on the WEAVER++ language
theory. The present model, WACT, combines components of WEAVER++ with
the memory and control processes of the ACT-R cognitive theory. WACT
accounts for the time course of inhibition from incongruent word
distractors, facilitation from congruent word distractors, the lack
of effect of color distractors, and the semantic gradient in
inhibition. WACT goes beyond WEAVER++ to account for Stroop
performance errors as well as latencies, and its implementation in a
unified cognitive theory opens doors to broader coverage of Stroop
phenomena than standalone models are likely to attain. Documented and
executable code for WACT is available for inspection and comment at
www.msu.edu/~ema/stroop. (http://www.msu.edu/~ema/stroop)
--
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
Erik M. Altmann
Department of Psychology
Michigan State University
East Lansing, MI 48824
517-353-4406 (voice)
517-353-1652 (fax)
ema at msu.edu
http://www.msu.edu/~ema
~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~