[ACT-R-users] Call for papers (UNCLASSIFIED)
Kelley, Troy (Civ,ARL/HRED)
tkelley at arl.army.mil
Fri Feb 15 14:47:28 EST 2008
Classification: UNCLASSIFIED
Caveats: NONE
CALL FOR PAPERS
Journal of Cognitive Engineering and Decision Making
Special Section on: Developing and Understanding Computational Models of
Macrocognition
A growing number of cognitive modelers and computer scientists are
directing their efforts toward understanding and representing
macrocognitive processes. Consequently, the literature across a wide
variety of disciplines-Human Factors, Cognitive Psychology, Human
Behavior Representation, Artificial Intelligence, Operations Research,
Human Computer Interaction, to name only a few-is now teeming with
discussions of novel computational architectures. There are references
to computational models of situation awareness, to naturalistic decision
making architectures, to intelligent, context-sensitive adaptation and
planning mechanisms, and even to expert systems that purport to operate
on more "meaningful" knowledge representations. While many might see
this as an interesting departure from the application of AI techniques
to classic experimental paradigms in cognitive psychology, this turn
also raises a host of interesting issues.
For instance, research in macrocognition embraces phenomena and methods
that might seem abstract or imprecise to those coming from a more
traditional background in computational cognitive modeling. Conversely,
to the macrocognitive researcher, computational cognitive models are
likely to be seen as couched at too fine a grain scale-exactly at the
"micro" level to which the macrocognitive researcher is reacting. While
there is no reason to assume that these micro and macro views are
incommensurable, a good deal of work needs to be done to show how these
views are best reconciled.
The goal of this Special Section of the JCEDM is to begin this work by
soliciting manuscripts from researchers across various disciplines who
are developing computational representations of macrocognitive processes
directly or are contributing to this body of work by theory,
experimentation, or practice. To encourage the ongoing exchange of
ideas across disciplines, our aim with this special section will not be
to justify or reaffirm the importance of a macrocognitve perspective,
nor will it be to establish priority among various computational
architectures. Rather, taking macrocognition as a starting point, we
seek manuscripts that detail how various aspects of the theory have
begun to find expression in computational architectures.
Suggested paper topics will include:
* Presentations of new and innovative architectures representing
specific macrocognitive processes (e.g., recognitional decision making,
actionable models of situation awareness, problem detection) and their
application to real world problems
* Discussion of the correspondence between conceptual and
computational models, of the relationship between macro- and
microcognitive models of cognition.
* Methods for measuring and evaluating computational models of
macrocognitive processes
* Methods for validating both conceptual and computational models
of macrocognition
The closing date for submissions is 27 June, 2008.
Prepare manuscripts according to the JCEDM guidelines which follow the
Publication Manual of the American Psychological Association (5th ed.).
Manuscripts should not exceed 25 pages in length.
Manuscripts should be submitted electronically to
cedm.journal at satechnologies.com, with emails entitled "Submission for
Special Issue on Computational Models of Macrocognition"
Special Section Co-Editors:
Walter Warwick
MA&D Operation, Alion Science and Technology
wwarwick at alionscience.com
Laurel Allender
Army Research Laboratory Human Research and Engineering Directorate
lallende at arl.army.mil
John Yen
School of Information Sciences and Technology, The Pennsylvania State
University
jyen at ist.psu.edu
Troy D. Kelley
AMSRD-HR-SE
Army Research Laboratory
Human Research and Engineering Directorate (HRED)
Aberdeen Proving Ground, Aberdeen MD 21005-5425
voice: 410-278-5869
fax: 410-278-9523
Classification: UNCLASSIFIED
Caveats: NONE
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