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CALL FOR PAPERS
"Dependence Issues in Knowledge-Based Systems"
Special Issue of
International Journal of Approximate Reasoning
Guest Editors:
Moses Chan, Lockheed-Martin Space-Systems Company, Sunnyvale, CA, USA
Paul-Andre Monney, Consultant in Statistics and Information Fusion, Ely, IA, USA
Enrique H. Ruspini, AI Center, SRI International, Menlo Park, CA, USA
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Combination of information from various sources plays a central role in
knowledge-based systems. The importance of these systems has continued
to grow as a consequence of the proliferation of complex information
processing architectures incorporating a wide variety of sensing, computing,
and communication devices. Many of these architectures are capable of handling
uncertain information. The scope of application of information-fusion
techniques has
also widened to include problems in areas such as bioinformatics, medicine, and
fault diagnosis. An important, but often overlooked, aspect of such
knowledge-based
systems is the issue of dependence among information items.
We seek papers addressing this problem within any of the following formalisms:
fuzzy logic, Dempster-Shafer theory, probability theory and imprecise
probability theory.
In particular, submissions of papers on the following topics are encouraged:
- Modeling of particular forms of dependence among information items
- Demonstration of the importance of information dependence
- Techniques to represent, analyze, and combine dependent information items
- Evaluations of the merits of existing techniques for dealing with information
dependence
Tentative deadlines:
Deadline for paper submission: September 15, 2008
Notification of acceptance: December 31, 2008
Deadline for final paper submission: March 31, 2009
Submission guidelines:
Please submit articles via the online system http://ees.elsevier.com/ija/ ,
selecting
"Special Issue: Dependence Issues" as Article Type.
[Apologies for multiple postings]
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