CFP: AAAI/KDD/UAI-2002 Workshop - Real-Time Decision Support and Diagnosis

From: William H. Hsu (
Date: Tue Feb 26 2002 - 05:43:06 MET

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    AAAI/KDD/UAI-2002 Joint Workshop on
    Real Time Decision Support and Diagnosis Systems

    Mon 29 Jul 2002
    Edmonton, Alberta, CANADA

    As AI methodologies are being applied towards increasingly realistic
    domains that require timely responses, real-time systems are coming to
    incorporate decision-making tools that require more intelligent
    capabilities. Many real-world intelligent systems call for autonomous
    intelligent agents acting in the face of uncertain knowledge and
    limited computational resources. Real-time decision support and
    diagnosis systems are two such important application domains.


    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)


    The one day workshop will include invited talks and tutorials on
    state-of-the-art research problems and methodologies, presentations
    by selected participants, and a panel and open discussion sessions
    on key topics.

    ---Invited Talks, Tutorials, and Discussion Sessions

    * Bruce D'Ambrosio (Oregon State University): invited talk
      State-of-the-art Real-Time Probabilistic Decision Support
      and Diagnosis technologies (45-60 minutes)

    * Michael C. Horsch (University of Saskatchewan): invited talk
      Flexible computation

    * Fabio Gagliardi Cozman (University of Sao Paulo, Brazil): discussion
      Embedded AI

    * Eugene Santos Jr. (University of Connecticut): discussion
      Distributed and Cooperative Problem Solving

    * Marek J. Druzdzel (University of Pittsburgh):
      Topics related to Diagnosis, Real-time Inference, and Sensor Fusion


    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 based on submitted research summaries.
    We anticipate participation by 25-50 people at the workshop.

    ---Paper Submissions

    We encourage submissions containing original theoretical and applied
    concepts in real-time decision support and diagnosis systems.
    Experimental results are also encouraged, especially on fielded
    applications, even if they are only preliminary. We therefore invite
    two categories of paper submissions:

    - research papers
         * should not exceed 12 pages, including title page
         * due Fri 15 March 2002
    - short summaries (including position papers)
         * should not exceed 2 pages
         * due Fri 29 March 2002

    We request that authors prepare papers in the standard AAAI format.
    Papers should be submitted in PostScript, PDF, or Microsoft Word
    97/2000 file format. Electronic submissions are preferred, but both
    types of papers may be submitted by ONE OF the following three options:

    * E-mail a URL pointer to the paper to
    * Attach a PostScript, PDF, or Word file (or .zip, .gz, or .bz2
      archive) to
    * Mail 5 hard copies printed on 8.5" x 11" or A4 paper with at least
      1-inch margins on all sides.

    All submissions should be sent to

    ---Organizing Chairs

    Haipeng Guo (primary contact)
    Department of Computing and Information Sciences
    p: Kansas State University, 234 Nichols Hall,
    Manhattan, KS 66506-2302 * t: (785) 539-0278, f: (785) 532-7353 *
    e: * w:

    Eric Horvitz
    Adaptive Systems & Interaction Group, Microsoft Research
    p: Microsoft Research, Redmond WA 98052-6399 *
    t: (425) 936-2127 * f: (425) 936-7329 *
    e: * w:

    William H. Hsu (primary contact)
    Department of Computing and Information Sciences
    p: Kansas State University, 234 Nichols Hall,
    Manhattan, KS 66506-2302 * t: (785) 539-7180 * f: (785) 539-7180 *
    e: * w:

    Eugene Santos Jr.
    Department of Computer Science and Engineering
    p: UTEB, 191 Auditorium Rid., U-155, Storrs, CT 06269-3155 *
    t: (860) 486-1458 * f: (860) 486-4817 *
    e: * w:

    ---Program Committee (to date)

    Daniel Andresen (Kansas State University)
    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

    ---Additional information

    Please consult the following web page:
    for more information.

     William H. Hsu, Ph.D.
     Assistant Professor of CIS, Kansas State University
     Director, Lab for Knowledge Discovery in Databases, ICQ: 28651394

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