THIRD CALL FOR PAPERS AND PARTICIPATION
Joint Workshop on Real-Time Decision Support and Diagnosis Systems
- National Conference on Artificial Intelligence (AAAI)
- Association for Computing Machinery (ACM) SIGKDD
Conference on Knowledge Discovery in Databases (KDD)
- Intl. Conference on Uncertainty in Artificial Intelligence (UAI)
Mon 29 Jul 2002
Edmonton, Alberta, CANADA
http://www.kddresearch.org/KDD/Workshops/RTDSDS-2002/
- --- Topics
Active research topics that are relevant to real-time decision
support and diagnosis include:
- - real-time expert systems
- - embedded intelligent diagnosis agents
- - anytime uncertain reasoning algorithms and flexible computation
- - cost estimation for resource-bounded computation
- - decision-theoretic planning and deliberative real-time
artificial intelligence
- - real-time Bayesian network inference and learning techniques
- - real-time algorithms for scheduling and situated planning
- - real-time sensor fusion and situation assessment
- - real-time knowledge discovery in databases (KDD)
- --- Format
This one-day workshop will include invited talks and tutorials on
state-of-the-art research problems and methodologies, presentations
by selected participants, and panel and open discussion sessions
on key topics.
- --- Target Audience
The workshop will be of interest to researchers and practitioners in
the area of uncertain reasoning (UAI), real-time artificial
intelligence (RTAI), and real-time knowledge discovery in databases
(KDD).
Participation will be invited based upon submitted summaries of
interest, short research abstracts, OR full-length papers. We
anticipate participation by 25-50 people at the workshop.
- --- CALL FOR PARTICIPATION
Registration for the workshop through the Edmonton conferences is
open to ALL attendees of AAAI-2002, UAI-2002, and KDD-2002.
To be invited to register, send e-mail to:
rtdsds-2002@www.kddresearch.org
containing a short (one-paragraph) statement of interests in the
areas of real-time systems, diagnosis, and decision support.
Please state your current institutional affiliation as well.
- --- CALL FOR PAPERS
We encourage full-length papers (6-8 pages) and short abstracts
(2 pages) covering original theoretical and applied concepts in
real-time decision support and diagnosis systems.
Papers on applications and experimental work are especially
encouraged, even if they are only preliminary surveys.
DUAL SUBMISSION POLICY: Submission of short (2-page OR 6-8 page)
synopses of articles currently in preparation, under review, or
accepted for publication as journals or book chapters is permitted.
Submission of full-length papers currently under review for other
conferences and workshops is also permitted. However, these papers
shall be published in the working notes for this workshop if and
only if they are compliant with the dual-submission guidelines of
the other conference or workshop.
Please consult the workshop web page for formatting instructions.
All submissions should be sent to rtdsds-2002@www.kddresearch.org
- --- Invited Talks and Tutorials
* Bruce D'Ambrosio, Oregon State University
Real-Time Probabilistic Decision Support and Diagnosis
* Michael C. Horsch, University of Saskatchewan
Flexible computation
- --- Discussion Sessions
* Fabio Gagliardi Cozman, University of Sao Paulo
Embedded AI
* Marek J. Druzdzel, University of Pittsburgh
Diagnosis, Real-Time Inference, and Sensor Fusion
* William H. Hsu, Kansas State University
Real-Time Interactive Decision Support
* Eugene Santos, Jr., University of Connecticut
Distributed and Cooperative Problem Solving
- --- Organizing Committee
Haipeng Guo (hpguo@cis.ksu.edu)
Department of Computing and Information Sciences
Kansas State University
Eric Horvitz (horvitz@microsoft.com)
Adaptive Systems and Interaction Group
Microsoft Research
William H. Hsu (bhsu@cis.ksu.edu)
Department of Computing and Information Sciences
Kansas State University
Eugene Santos, Jr. (eugene@engr.uconn.edu)
Department of Computer Science and Engineering
University of Connecticut
- --- Program Committee
Bruce D'Ambrosio, Oregon State University
Fabio Gagliardi Cozman, University of Sao Paulo
Marek J. Druzdzel, University of Pittsburgh
Haipeng Guo, Kansas State University (Organizing Committee)
Eric Horvitz, Microsoft Research (Organizing Committee)
William H. Hsu, Kansas State University (Organizing Committee)
Henry Kautz, Washington University
Sven Koenig, Georgia Institute of Technology
Mitchell L. Neilsen, Kansas State University
David Poole, University of British Columbia
Eugene Santos Jr., University of Connecticut (Organizing Committee)
Solomon Shimony, Ben Gurion University
Shlomo Zilberstein, University of Massachusetts-Amherst
---Additional information
Please consult the following web page:
http://www.kddresearch.org/KDD/Workshops/RTDSDS-2002/
for more information.
-- ======================================================= William H. Hsu, Ph.D. Assistant Professor of CIS, Kansas State University Director, Lab for Knowledge Discovery in Databases bhsu@cis.ksu.edu, bhsu@ncsa.uiuc.edu http://www.kddresearch.org ICQ: 28651394 =======================================================
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