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: --------------AC1502315611E46B823BE3E7 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: 8bit 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 =========================================================================== --------------AC1502315611E46B823BE3E7 Content-Type: text/html; charset=us-ascii; name="toc.htt" Content-Transfer-Encoding: 7bit Content-Disposition: inline; filename="toc.htt" Table of Contents for Cognitive Systems Research

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\mbox{\'{c}}
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

© Copyright 2001, Elsevier Science, All rights reserved.

--------------AC1502315611E46B823BE3E7-- From rsun at cecs.missouri.edu Wed May 2 23:15:58 2001 From: rsun at cecs.missouri.edu (rsun at cecs.missouri.edu) Date: Wed, 02 May 2001 22:15:58 -0500 Subject: Workshop on Cognitive Agents and Multi-agent Interaction Message-ID: --------------B9DBAB7C8080E2B2379A7ABF Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit 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 =========================================================================== --------------B9DBAB7C8080E2B2379A7ABF Content-Type: text/html; charset=us-ascii; name="wsp01.html" Content-Transfer-Encoding: 7bit Content-Disposition: inline; filename="wsp01.html" Content-Base: "http://www.cecs.missouri.edu/~rsun/wsp 01.html" Content-Location: "http://www.cecs.missouri.edu/~rsun/wsp 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:

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

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. * _/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/ --============_-1222348699==_ma============ Content-Type: text/html; charset="us-ascii" 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.


--
_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
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.  *
_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
--============_-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: Content-Type: text/plain; charset=us-ascii; format=flowed Content-Transfer-Encoding: 7bit Content-Disposition: inline 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 --==========25005330========== Content-Type: application/msword; name="2001 ACT-R PGSS Reminder.doc" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="2001 ACT-R PGSS Reminder.doc"; size=27976 0M8R4KGxGuEAAAAAAAAAAAAAAAAAAAAAPgADAP7/CQAGAAAAAAAAAAAAAAABAAAAMQAAAAAAAAAA EAAAMwAAAAEAAAD+////AAAAADAAAAD///////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// 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//////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////// /////wEA/v8CAAEA/////wYJAgAAAAAAwAAAAAAAAEYYAAAATWljcm9zb2Z0IFdvcmQgRG9jdW1l bnQA/v///05CNlcQAAAAV29yZC5Eb2N1bWVudC44AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAA --==========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 ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~