From ppavlik at andrew.cmu.edu  Fri Aug  6 16:28:48 2004
From: ppavlik at andrew.cmu.edu (Philip Pavlik)
Date: Fri, 6 Aug 2004 16:28:48 -0400 (EDT)
Subject: [Fwd: [ACT-R-users] FW: Rumelhart Award Party]
Message-ID: <3680.12.106.131.76.1091824128.squirrel@12.106.131.76>

Hope to see you all at the party!

---------------------------- Original Message ----------------------------
Subject: [ACT-R-users] FW: Rumelhart Award Party
From:    "Phil Pavlik" <ppavlik at andrew.cmu.edu>
Date:    Sat, July 24, 2004 6:29 pm
To:      act-r-users at act-r.psy.cmu.edu
--------------------------------------------------------------------------


Hello ALL Cog Sci attendees,

We have completed the survey and have decided on Saturday, August 7, from
9pm to Midnight for the reception. It will be at Jake Melnick's Corner Tap
at 41 E. Superior St. A map from the conference hotel is attached. It is a 1
mile walk. It looks like we are expecting about 35 people.

This will be a wine, beer and cocktail event with hors d'oeuvres and
socializing. We have a private room and a private bar.  Hope to see all of
you there.

Cheers,
Phil

Philip I. Pavlik Jr.
Psychology Department
Carnegie Mellon University
Pittsburgh, PA 15213

ppavlik at andrew.cmu.edu
http://www.andrew.cmu.edu/user/ppavlik/
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From ppavlik at andrew.cmu.edu  Sat Aug  7 08:53:01 2004
From: ppavlik at andrew.cmu.edu (Philip Pavlik)
Date: Sat, 7 Aug 2004 08:53:01 -0400 (EDT)
Subject: [ACT-R-users] Route to Cog Sci Rumelhart Party for John
Message-ID: <4961.12.106.131.117.1091883181.squirrel@12.106.131.117>

Hi to Cog Sci attendees,

You may note that the map I provided describes how one would get to our venue in a car. If one were walking, there is most certainly a more direct route and I think it is considerably less than a mile then.

One should simply walk North on Dearborn to Superior, make a right heading toward the Lake and go to 41 E. Superior.

Thanks to those Spatial Reasoners that brought this to my attention,
Phil




From dalrympl at mail.ucf.edu  Sat Aug  7 12:03:59 2004
From: dalrympl at mail.ucf.edu (Ann Dalrymple)
Date: Sat, 07 Aug 2004 12:03:59 -0400
Subject: [ACT-R-users] Time psychology
Message-ID: <s114b72d.042@mail.ucf.edu>

Has anyone implemented the effect of varying time perception in ACT-R?

Best regards,
Ann Dalrymple

-----
There can be no knowledge without emotion. We may be aware of a truth,
yet until we have felt its force, it is not ours. To the cognition of
the brain must be added the experience of the soul.
-----
407-998-3459



From taatgen at cmu.edu  Mon Aug  9 10:09:38 2004
From: taatgen at cmu.edu (Niels Taatgen)
Date: Mon, 9 Aug 2004 10:09:38 -0400
Subject: [ACT-R-users] Time psychology
In-Reply-To: <s114b72d.042@mail.ucf.edu>
References: <s114b72d.042@mail.ucf.edu>
Message-ID: <BFF90866-EA0D-11D8-8922-000A95C86952@cmu.edu>

Dear Ann Dalrymple,
I recently implemented a time perception system for ACT-R that will 
allow it to perceive intervals of up to roughly 30 seconds. It is 
detailed in a paper I wrote with Hedderik van Rijn and John Anderson 
for ICCM-2004. I prepared a small webpage with the paper and the code. 
Unfortunately I have documented the code yet, but it should be 
relatively clear if you look at the paper.
Here is the page:
http://www.ai.rug.nl/~niels/temporal.html

Good luck!
Niels Taatgen
On 7 Aug 2004, at 12:03, Ann Dalrymple wrote:

> Has anyone implemented the effect of varying time perception in ACT-R?
>
> Best regards,
> Ann Dalrymple
===================================================
Niels Taatgen - Carnegie Mellon University, Psychology, BH 345E
Also (but not now): University of Groningen, Artificial Intelligence
web: http://www.ai.rug.nl/~niels     email: taatgen at cmu.edu
Telephone: +1 412-268-2815
===================================================




From anh23+ at pitt.edu  Sat Aug 14 17:58:24 2004
From: anh23+ at pitt.edu (Anthony M. Harrison)
Date: Sat, 14 Aug 2004 17:58:24 -0400
Subject: [ACT-R-users] Proposal: CommonReality OpenGroup
Message-ID: <104CC617-EE3D-11D8-B2EF-000393A58042@pitt.edu>

   As modelers we are increasingly finding ourselves attempting to 
integrate our models with other devices that either interact with or 
simulate the real world. I've been trying to make this process easier 
on myself. However, I've quickly come to realize that this interfacing 
problem is one faced by all modelers regardless of architecture. In my 
conversations with the robotics folks at NRL, it's also become clear 
that they face a similar problem. As such, I'm proposing the formation 
of the CommonReality OpenGroup.
   What is it? It is a group that will work towards creating a general 
abstraction layer for architectures and devices to permit better 
interoperability across architectures, devices, hardware, and software. 
Participation is open to anyone interested. The goal is to produce 
reference implementations of this abstraction layer in all the primary 
modeling languages (not architectures, since this should be 
architecturally agnostic). These reference implementations can then be 
used by architecture and device developers to ensure reliable 
interactions.

   I have posted a power point presentation on the general rationale 
behind the open group as well as a prototype description to get people 
thinking and talking.

   http://sourceforge.net/projects/commonreality/

   I ask that anyone and everyone who thinks they have a stake in this 
to participate. It will only work if we have a wide array of 
participants from numerous fields.

   This message is being cross-posted to the Soar and ACT-R lists. If 
you are aware of others who would be interested, please forward 
accordingly.

===============================================

     "The unexamined life isn't worth living;
          however, the over-examined life isn't living."

     Anthony M. Harrison, M.S.
     Research Assistant
     Learning Research & Development Center
     University of Pittsburgh

     anh23 at pitt.edu
     http://simon.lrdc.pitt.edu/~harrison/
     Voice: (412) 648-1109
     Fax:   (412) 624-7439

     LRDC, Rm 823
     3939 O'Hara St.
     Pittsburgh, PA 15260
===============================================




From ben.willems at faa.gov  Tue Aug 17 07:38:11 2004
From: ben.willems at faa.gov (ben.willems at faa.gov)
Date: Tue, 17 Aug 2004 07:38:11 -0400
Subject: [ACT-R-users] Proposal: CommonReality OpenGroup (AnthonyM.Harrison)
Message-ID: <OFEF989B93.10AA9D3B-ON85256EF3.003FB6AF@faa.gov>

Mike, you may want to take a look at: 

https://www.dmso.mil/public/

because they are proposing something very similar.

Ben Willems
Engineering Research Psychologist
William J. Hughes Technical Center
NAS Human Factors Group (ACB-220)
Building 28
Atlantic City International Airport, NJ 08405
USA
Phone:  609-485-4191
E-mail: Ben.Willems at faa.gov

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From Kevin.Gluck at mesa.afmc.af.mil  Wed Aug 18 16:59:40 2004
From: Kevin.Gluck at mesa.afmc.af.mil (Kevin.Gluck at mesa.afmc.af.mil)
Date: Wed, 18 Aug 2004 13:59:40 -0700
Subject: [ACT-R-users] FW: job ads
Message-ID: <671474002216D14B8D440C71877F9A8D07DB8B@FSQBGE07.williams.afmc.ds.af.mil>

Dear ACT-R and Soar User Communities,

 

I am forwarding these job ads on behalf of the Applied Psychology Unit at
Arizona State University's East Campus.  Please do not reply to me.  If you
are interested in additional information, please contact Roger Schvaneveldt
at the email address or phone number below.

 

Regards,

 

Kevin

 

-----Original Message-----



 

Applied Cognitive Science Center Director, Arizona State University East 

The Applied Psychology Unit at Arizona State University East Campus is
seeking a director for a new research center, provisionally named the
Applied Cognitive Science Center (ACSC).  The Center will foster
interdisciplinary research in such areas as aviation, human factors,
industrial-organizational psychology, decision making, models of actors and
agents, team cognition and coordination, human-computer interaction,
artificial intelligence, and knowledge engineering.  The director and
associated researchers will determine the emphasis and specific directions
of development of the center.  The director will be expected to maintain an
active research program, teach one or two courses a year, be involved in
service activities in the university and the profession, and participate in
development initiatives related to the center.  Qualifications required for
this appointment include:  (a) An earned doctorate in an area pertinent to
cognitive science; (b) A record of research productivity appropriate to
rank; (c) Evidence of successful competition for research funding; and (d)
Experience in leading a team of researchers; and (e) Teaching experience
appropriate to rank.  Desired qualifications include administrative
experience in managing people and budgets.  Candidates must submit a letter
expressing interest, a current vita, and the names, addresses, and phone
numbers of three professional references.  Send materials to:  Roger
Schvaneveldt, Applied Psychology Unit, ASU Polytechnic, 7001 E. Williams
Field Rd., Building #140, Mesa, AZ 85212.   Further information can be
obtained from Roger Schvaneveldt (schvan at asu.edu, 480-727-1066) or from the
program website (http://www.east.asu.edu/ecollege/appliedpsych/
<http://www.east.asu.edu/ecollege/appliedpsych/> ).   Applications for this
position will be reviewed on August 1, 2004; if not filled, the 1st and 15th
of each month until the search is closed.  ASU is an Affirmative
Action/Equal Opportunity employer.

 

 

Assistant Professor in Human Factors, Arizona State University East 

The Applied Psychology Unit at Arizona State University East Campus is
seeking an assistant professor in human factors or applied cognitive
psychology.  Responsibilities include teaching undergraduate and graduate
courses, supervising students and projects, and engaging in research and
professional service activities appropriate to tenure-track positions.  The
Applied Psychology Unit emphasizes aviation, perception and action, and team
cognition.  A related center for research in applied cognitive science will
foster interdisciplinary research in these areas as well as others such as
industrial-organizational psychology, decision making, models of actors and
agents, human-computer interaction, artificial intelligence, and knowledge
engineering.  We are particularly interested in candidates with research
interests in human-computer interaction, but will seriously consider
candidates from other areas.  Required qualifications for this position
include:  (a) An earned doctorate in psychology or human factors at the time
of appointment; and (b) A record of research productivity appropriate to
rank.  Desired qualifications include:  (a) Research interests in
human-computer interaction; (b) Potential for attracting external funding of
research; and (c) Teaching experience.  Candidates must submit a letter
expressing interest, a current vita, and the names, addresses, and phone
numbers of three professional references.  Send materials to:  Roger
Schvaneveldt, Applied Psychology Unit, ASU Polytechnic, 7001 E. Williams
Field Rd., Building #140, Mesa, AZ 85212.   Further information can be
obtained from Roger Schvaneveldt (schvan at asu.edu, 480-727-1066) or from the
program website: http://www.east.asu.edu/ecollege/appliedpsych/
<http://www.east.asu.edu/ecollege/appliedpsych/> .  Applications for this
position will be reviewed on October 15, 2004;  if not filled, the 1st and
15th of each following month until the search is closed.  ASU is an
Affirmative Action/Equal Opportunity employer.

 

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From salvucci at cs.drexel.edu  Thu Aug 19 13:58:41 2004
From: salvucci at cs.drexel.edu (Dario Salvucci)
Date: Thu, 19 Aug 2004 13:58:41 -0400
Subject: [ACT-R-users] multitasking models
Message-ID: <6781EFBF-F209-11D8-B665-000D93AF8BD8@cs.drexel.edu>

Hi all --

I'm trying to compile a representative sampling of models of 
multitasking developed in a cognitive architecture -- i.e., models that 
essentially do two or more things at once.  Most importantly, I'm 
looking for models of complex dynamic tasks that, either implicitly or 
explicitly, share time between two or more component subtasks (e.g., 
monitoring some things while doing other things).

Below is a preliminary list categorized by Kieras et al's four classes 
of models.  In particular, the "compound continuous tasks" include 
models that, as far as I can tell from my reading, do some type of 
multitasking (usually with explicit/probabilistic transitions between 
subtasks).  If there's anything significant missing (and I'm sure there 
is :)) or if the references are not the best/most recognizable ones, 
please let me know.  Fyi, this isn't intended to list every possible 
reference, just what might be considered representative of a domain or 
class of models.

Thanks a bunch,
Dario

-------------------
[full references below]


Discrete Successive Tasks  (i.e., "task switching")
- Altmann & Trafton, 2002 : Alternating choice (ACT-R)
- Kieras et al., 2000 : Alternating choice (EPIC)
- Sohn & Anderson, 2001 : Alternating choice (ACT-R)

Discrete Concurrent Tasks (i.e., "PRP")
- Byrne & Anderson, 2001 : Choice + choice (ACT-R)
- Meyer & Kieras, 1997 : Choice + choice (EPIC)

Elementary Continuous Tasks
- Chong & Laird, 1997 : Tracking + choice (EPIC-Soar)
- Kieras & Meyer, 1997 : Tracking + choice (EPIC)
- Lallement & John : Tracking + choice (Soar, EPIC)

Compound Continuous Tasks
- Aasman & Michon, 1992 : Driving (Soar)
- Byrne & Kirlik, in press : Aircraft taxiing (ACT-R)
- Gluck & Pew, 2002 : Air-traffic control [AMBR] (ACT-R, D-COG, 
EPIC-Soar, iGen)
- Gluck et al., 2003 : Aircraft maneuvering (ACT-R)
- Gray & Schoelles, 2003 : Radar operation [Argus Prime] (ACT-R)
- Jones et al., 1999 : Fighter piloting [TacAir-Soar] (Soar)
- Kieras & Meyer, 1997 : Tracking + decision making (EPIC)
- Laird & Duchi, 2001 : Game playing [Quake] (Soar)
- Salvucci, 2001 : Driver distraction (ACT-R)
- Schoppek, 2002 : Dynamic systems (ACT-R)
- Taatgen & Lee, 2003 : Air-traffic control [KA-ATC] (ACT-R)



Aasman, J., & Michon, J. A. (1992). Multitasking in driving. In J. A. 
Michon & A. Aky=FCrek (Eds.), Soar: A cognitive architecture in 
perspective.  Dordrecht, The Netherlands: Kluwer.

Altmann, E. M., & Trafton, J. G. (2002).  Memory for goals: An 
activation-based model.  Cognitive Science, 26, 39-83.

Byrne, M. D., & Anderson, J. R. (2001).  Serial modules in parallel: 
The psychological refractory period and perfect time-sharing..  
Psychological Review, 108, 847-869.

Byrne, M. D., & Kirlik, A. (in press). Using computational cognitive 
modeling to diagnose possible sources of aviation error. To appear in 
International Journal of Aviation Psychology.

Chong, R.S. & Laird,  J.E., Towards Learning Dual-Task Executive 
Process Knowledge using  EPIC-Soar.

Gluck, K. A. & Pew, R. W., (2002). The AMBR model comparison project: 
Round III ??? Modeling category learning.  Proceedings of the 
Twenty-fourth Annual Conference of the Cognitive Science Society (pp. 
53-54). Mahwah, NJ: Erlbaum.

Gluck, K. A., Ball, J. T., Krusmark, M. A., Rodgers, S. M., & Purtee, 
M. D. (2003). A computational process model of basic aircraft 
maneuvering. In F. Detje, D. Doerner, & H. Schaub (Eds.), In 
Proceedings of the Fifth International Conference on Cognitive Modeling 
(pp. 117-122). Bamberg, Germany: Universitats-Verlag Bamberg.

Gray, W. D. & M. J. Schoelles (2003). The Nature and Timing of 
Interruptions in a Complex Cognitive Task: Empirical Data and 
Computational Cognitive Models. In Proceedings of the 25th Annual 
Meeting of the Cognitive Science Society. pg 37.

Jones, R. M., Laird, J. E., Nielsen P. E., Coulter, K., Kenny, P., & 
Koss, F. (1999).  Automated intelligent pilots for combat flight 
simulation.  AI Magazine, 20, 27-42.

Kieras, D. & Meyer, D.E. (1997). An overview of the EPIC architecture 
for cognition and performance with application to human-computer 
interaction. Human-Computer Interaction., 12, 391-438.

Kieras, D. E., Meyer, D. E., Ballas, J. A., & Lauber, E. J. (2000).  
Modern computational perspectives on executive mental processes and 
cognitive control: Where to from here?.  In S. Monsell & J. Driver 
(Eds.), Control of Cognitive Processes: Attention and Performance XVIII 
(pp. 681-712).  Cambridge, MA: MIT Press.

Laird, J. E., & Duchi, J. C. (2000).  Creating Human-like Synthetic 
Characters with Multiple Skill Levels: A Case Study using the Soar 
Quakebot.  In Papers from the AAAI 2000 Fall Symposium on Simulating 
Human Agents, Technical Report FS-0A-03. AAAI Press 2000, 75--79, 2000.

Lallement, Y., & John, B. E. (1998). Cognitive architecture and 
modeling idiom: An examination of three models of the Wickens task. In 
M. A. Gernsbacher & S. J. Derry (Eds.), Proceedings of the twentieth 
annual conference of the Cognitive Science Society (pp. 597-602). 
Hillsdale, NJ: Erlbaum.

Meyer, D. E., & Kieras, D. E. (1997b).  A computational theory of 
executive cognitive processes and multiple-task performance: Part 2. 
Accounts of psychological refractory period phenomena.  Psychological 
Review, 104, 749-791.

Salvucci, D. D. (2001).  Predicting the effects of in-car interface use 
on driver performance: An integrated model approach.  International 
Journal of Human-Computer Studies, 55, 85-107.

Schoppek, W. (2002). Examples, rules, and strategies in the control of 
dynamic systems. Cognitive Science Quarterly, 1 (4).

Sohn, M.-H., & Anderson, J. R. (2001).  Task preparation and task 
repetition: Two-component model of task switching.  Journal of 
Experimental Psychology: General, 130, 764-778.

Taatgen, N. A., & Lee, F. J. (2003).  Production compilation: A simple 
mechanism to model complex skill acquisition.  Human Factors, 45, 
61-76.


_____________________________________
Dario Salvucci, Ph.D.
Assistant Professor
Department of Computer Science
Drexel University
http://www.cs.drexel.edu/~salvucci/



From Kevin.Gluck at mesa.afmc.af.mil  Thu Aug 19 16:19:14 2004
From: Kevin.Gluck at mesa.afmc.af.mil (Kevin.Gluck at mesa.afmc.af.mil)
Date: Thu, 19 Aug 2004 13:19:14 -0700
Subject: [ACT-R-users] multitasking models
Message-ID: <671474002216D14B8D440C71877F9A8D07DB98@FSQBGE07.williams.afmc.ds.af.mil>

Dario (and others),

There are better references for the AMBR Model Comparison, which as you
correctly point out did involve the development of multi-tasking models (and
also category learning models ... multi-tasking category learning models, in
fact!).  

One good source of previously published papers is a double-symposium on the
AMBR multi-tasking models from the 10th Conference on Computer-Generated
Forces and Behavior Representation.  These papers are available for download
from the conference website by going to http://www.sisostds.org/ and
following these links:

Conferences and Workshops
Conference on Behavior Representation in Modeling and Simulation (formerly
CGF)
10th CGF-BR
View Papers and Presentations

The papers are organized by paper number.  You are looking for papers 66-74.

There are a variety of other conferences at which AMBR papers have been
published/presented in the last few years.  Unfortunately, most conferences
don't put their content on a public website.  I am attaching a complete set
of AMBR references as a resource for those seeking more material.

Additionally, we have a book in press with Erlbaum.  The copyeditors are
working it over right now and it should be available publicly mid-year next
year.  Here is the reference:

Gluck, K. A. & Pew, R. W. (Eds.). (in press). Modeling human behavior with
integrated cognitive architectures: Comparison, evaluation, and validation.
Mahwah, NJ: Erlbaum.

I am attaching the Table of Contents for the book.

Please let me know if you are interested in more information.

Cheers,

Kevin



-----Original Message-----
From: Dario Salvucci [mailto:salvucci at cs.drexel.edu] 
Sent: Thursday, August 19, 2004 10:59 AM
To: act-r-users at act-r.psy.cmu.edu
Subject: [ACT-R-users] multitasking models

Hi all --

I'm trying to compile a representative sampling of models of 
multitasking developed in a cognitive architecture -- i.e., models that 
essentially do two or more things at once.  Most importantly, I'm 
looking for models of complex dynamic tasks that, either implicitly or 
explicitly, share time between two or more component subtasks (e.g., 
monitoring some things while doing other things).

Below is a preliminary list categorized by Kieras et al's four classes 
of models.  In particular, the "compound continuous tasks" include 
models that, as far as I can tell from my reading, do some type of 
multitasking (usually with explicit/probabilistic transitions between 
subtasks).  If there's anything significant missing (and I'm sure there 
is :)) or if the references are not the best/most recognizable ones, 
please let me know.  Fyi, this isn't intended to list every possible 
reference, just what might be considered representative of a domain or 
class of models.

Thanks a bunch,
Dario

-------------------
[full references below]


Discrete Successive Tasks  (i.e., "task switching")
- Altmann & Trafton, 2002 : Alternating choice (ACT-R)
- Kieras et al., 2000 : Alternating choice (EPIC)
- Sohn & Anderson, 2001 : Alternating choice (ACT-R)

Discrete Concurrent Tasks (i.e., "PRP")
- Byrne & Anderson, 2001 : Choice + choice (ACT-R)
- Meyer & Kieras, 1997 : Choice + choice (EPIC)

Elementary Continuous Tasks
- Chong & Laird, 1997 : Tracking + choice (EPIC-Soar)
- Kieras & Meyer, 1997 : Tracking + choice (EPIC)
- Lallement & John : Tracking + choice (Soar, EPIC)

Compound Continuous Tasks
- Aasman & Michon, 1992 : Driving (Soar)
- Byrne & Kirlik, in press : Aircraft taxiing (ACT-R)
- Gluck & Pew, 2002 : Air-traffic control [AMBR] (ACT-R, D-COG, 
EPIC-Soar, iGen)
- Gluck et al., 2003 : Aircraft maneuvering (ACT-R)
- Gray & Schoelles, 2003 : Radar operation [Argus Prime] (ACT-R)
- Jones et al., 1999 : Fighter piloting [TacAir-Soar] (Soar)
- Kieras & Meyer, 1997 : Tracking + decision making (EPIC)
- Laird & Duchi, 2001 : Game playing [Quake] (Soar)
- Salvucci, 2001 : Driver distraction (ACT-R)
- Schoppek, 2002 : Dynamic systems (ACT-R)
- Taatgen & Lee, 2003 : Air-traffic control [KA-ATC] (ACT-R)



Aasman, J., & Michon, J. A. (1992). Multitasking in driving. In J. A. 
Michon & A. Aky=FCrek (Eds.), Soar: A cognitive architecture in 
perspective.  Dordrecht, The Netherlands: Kluwer.

Altmann, E. M., & Trafton, J. G. (2002).  Memory for goals: An 
activation-based model.  Cognitive Science, 26, 39-83.

Byrne, M. D., & Anderson, J. R. (2001).  Serial modules in parallel: 
The psychological refractory period and perfect time-sharing..  
Psychological Review, 108, 847-869.

Byrne, M. D., & Kirlik, A. (in press). Using computational cognitive 
modeling to diagnose possible sources of aviation error. To appear in 
International Journal of Aviation Psychology.

Chong, R.S. & Laird,  J.E., Towards Learning Dual-Task Executive 
Process Knowledge using  EPIC-Soar.

Gluck, K. A. & Pew, R. W., (2002). The AMBR model comparison project: 
Round III ??? Modeling category learning.  Proceedings of the 
Twenty-fourth Annual Conference of the Cognitive Science Society (pp. 
53-54). Mahwah, NJ: Erlbaum.

Gluck, K. A., Ball, J. T., Krusmark, M. A., Rodgers, S. M., & Purtee, 
M. D. (2003). A computational process model of basic aircraft 
maneuvering. In F. Detje, D. Doerner, & H. Schaub (Eds.), In 
Proceedings of the Fifth International Conference on Cognitive Modeling 
(pp. 117-122). Bamberg, Germany: Universitats-Verlag Bamberg.

Gray, W. D. & M. J. Schoelles (2003). The Nature and Timing of 
Interruptions in a Complex Cognitive Task: Empirical Data and 
Computational Cognitive Models. In Proceedings of the 25th Annual 
Meeting of the Cognitive Science Society. pg 37.

Jones, R. M., Laird, J. E., Nielsen P. E., Coulter, K., Kenny, P., & 
Koss, F. (1999).  Automated intelligent pilots for combat flight 
simulation.  AI Magazine, 20, 27-42.

Kieras, D. & Meyer, D.E. (1997). An overview of the EPIC architecture 
for cognition and performance with application to human-computer 
interaction. Human-Computer Interaction., 12, 391-438.

Kieras, D. E., Meyer, D. E., Ballas, J. A., & Lauber, E. J. (2000).  
Modern computational perspectives on executive mental processes and 
cognitive control: Where to from here?.  In S. Monsell & J. Driver 
(Eds.), Control of Cognitive Processes: Attention and Performance XVIII 
(pp. 681-712).  Cambridge, MA: MIT Press.

Laird, J. E., & Duchi, J. C. (2000).  Creating Human-like Synthetic 
Characters with Multiple Skill Levels: A Case Study using the Soar 
Quakebot.  In Papers from the AAAI 2000 Fall Symposium on Simulating 
Human Agents, Technical Report FS-0A-03. AAAI Press 2000, 75--79, 2000.

Lallement, Y., & John, B. E. (1998). Cognitive architecture and 
modeling idiom: An examination of three models of the Wickens task. In 
M. A. Gernsbacher & S. J. Derry (Eds.), Proceedings of the twentieth 
annual conference of the Cognitive Science Society (pp. 597-602). 
Hillsdale, NJ: Erlbaum.

Meyer, D. E., & Kieras, D. E. (1997b).  A computational theory of 
executive cognitive processes and multiple-task performance: Part 2. 
Accounts of psychological refractory period phenomena.  Psychological 
Review, 104, 749-791.

Salvucci, D. D. (2001).  Predicting the effects of in-car interface use 
on driver performance: An integrated model approach.  International 
Journal of Human-Computer Studies, 55, 85-107.

Schoppek, W. (2002). Examples, rules, and strategies in the control of 
dynamic systems. Cognitive Science Quarterly, 1 (4).

Sohn, M.-H., & Anderson, J. R. (2001).  Task preparation and task 
repetition: Two-component model of task switching.  Journal of 
Experimental Psychology: General, 130, 764-778.

Taatgen, N. A., & Lee, F. J. (2003).  Production compilation: A simple 
mechanism to model complex skill acquisition.  Human Factors, 45, 
61-76.


_____________________________________
Dario Salvucci, Ph.D.
Assistant Professor
Department of Computer Science
Drexel University
http://www.cs.drexel.edu/~salvucci/

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From jpeters at rhsmith.umd.edu  Sat Aug 28 10:26:15 2004
From: jpeters at rhsmith.umd.edu (James Peters)
Date: Sat, 28 Aug 2004 10:26:15 -0400
Subject: [ACT-R-users] Declarative Rule Interpreter
Message-ID: <OF719991EF.2AC0D04D-ON85256EFE.004F38A8-85256EFE.004F4EAB@rhsmith.umd.edu>

I am working on a rather large project to implement a practical, generic 
declarative rule interpreter in ACT-R based on the prototype in Tutorial 
#7.  I believe that this is an important project for the following 
reasons:

1.  In theory, all knowledge starts as declarative and is compiled into 
productions.  Since step by step instructions and other forms of process 
knowledge are a key part of the knowledge an expert brings to any task, 
ACT-R needs to have some way of representing, executing, and 
proceduralizing this sort of knowledge.  ACT-R has a mechanism for 
proceduralization (admittedly an incomplete and evolving one, but there is 
a mechanism) but the Tutorial Appendix is the only mechanism I know of for 
executing declarative process knowledge (i.e., rules).

2.  In my domain (accounting), experts rarely have sufficient practice at 
any task to proceduralize their knowledge, at least the higher level 
knowledge.  Clearly, high-order knowledge contains primitive components 
that are highly practiced (like basic math skills), but accountants 
constantly face new issues that require working through declarative 
structures to resolve.  In addition, they always need to explain their 
actions and, therefore, are constantly using declarative representations 
of process knowledge (since procedural knowledge is unavailable for 
explanation except if the expert observes their own actions and then 
retrospectively infers the procedural knowledge used). 

Finally, administratively, managing large production systems is very 
difficult in ACT-R.  I need to manage large knowledge bases to properly 
model my subjects.  Declarative knowledge is much easier to manage because 
it fits into a relational database structure very nicely.  I am building 
an Access database to manage chunks.  The database will merely produce a 
text file with the "add-dm" and "chunk-type" statements needed to feed the 
information into ACT-R.  The system will also be able to track links 
between productions and chunks through the chunks embedded in the 
productions slots in the same way ACT-R instantiates productions, which 
should help manage the productions as well.  It would add the "P" 
statements needed to feed productions into ACT-R as well.  This will give 
me a very powerful tool to sort, select, edit, and display chunks and 
productions is just about any way I want to.  I haven't progressed too far 
with the database side because I need to build more extensive, generic, 
productions in ACT-R to work with declarative knowledge, particularly 
process oriented declarative knowledge.  That is, before I build a massive 
database, I need an ACT-R system that can handle it.

If you are working on a similar project(s), or know of someone who is, I 
would love to hear from you.  There are no other ACT-R researchers at the 
U. of Maryland and so I could use someone to talk to. 

Thanks.

Jim
James M. Peters, Ph.D.
Department of Accounting and Information Assurance
R. H. Smith School of Business
University of Maryland
College Park, MD  20742-7215
TEL - (301) 405-0570
FAX - (301) 314-9414
jmpeters at umd.edu
http://www.rhsmith.umd.edu:8001/jpeters/
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