Call For Abstracts
AAAI Spring Symposium, 25-27 March 2002, Palo Alto, CA
Information Refinement and Revision for Decision Making:
Modeling for Diagnostics, Prognostics, and Prediction
Many companies have discovered the value of preserving and maintaining
their corporate knowledge as they are collecting large amount of
process data and business information. This collection is accelerated
by the use of advanced and less expensive sensors, massive information
storage, and internet-facilitated access. As a result, diagnostic
decision makers are faced with the daunting task of extracting
relevant morsels from this information hodge-podge, dealing with
conflicting information, repudiating stale and outdated information,
and evaluating the merits of a found solution. Automated
decision-making systems also need to heed the effect of degrees of
redundancy in the information considered, which may skew the decision
pursued. In addition, temporal effects play a major role in the
decision making process not only because information integrity fades
over time but also because new information needs to be factored
in. Although this new information does not exist at the time of the
system design, one must provide a system maintenance plan to account
for it. Ways to judge the relevance of this new information and
optimization issues need to be discussed in this context. Finally, the
quality and uncertainty of the newly found system and its resulting
decisions need to be evaluated.
This workshop will explore some of the following topics within that context:
* Conflict resolution
* Information half-life
* Adaptive optimization
* Uncertainty management
* Distributed evolutionary agents
* Temporal information updating
* Link discovery in large databases
* Distributed resource management
* Aggregation of heterogeneous information
* Distributed multiple hypothesis management
* Automated updating of classification systems
* Maintenance of decision making units over time
* Multi-criteria decision making based on changing information
* Postponement of commitments in design analysis
* Interactive tradeoff analysis between search and decision
Submissions
Potential participants should submit an abstract (>= 150 words)
electronically to goebelk@crd.ge.com by Oct. 5
More information is available at the web site http://www.cs.rpi.edu/~goebel/ss02/index.html
Organizing Committee:
* Alice Agogino, UC Berkeley; aagogino@euler.me.berkeley.edu; Dept. of
Mechanical Engineering, 5136 Etcheverry Hall, University of
California, Berkeley, CA 94720-1740
* Piero Bonissone, GE CRD; bonissone@crd.ge.com; GE Corporate Research
& Development; One Research Circle; K1-5C32A; Niskayuna, NY 12309;
* Kai Goebel, GE CRD; goebelk@crd.ge.com; GE Corporate Research &
Development; One Research Circle; K1-5C4A; Niskayuna, NY 12309;
* Soundar R.T. Kumara, skumara@psu.edu; Dept. of Industrial and
Manufacturing Engineering, 363 Leonhard Building, The Pennsylvania
State University, University Park, PA 16802
* Karl Reichard, Penn State; kmr5@psu.edu; Applied Research
Laboratory, 229 ARL Building, University Park, PA 16802
* George Vachtsevanos, Georgia Tech;
george.vachtsevanos@ee.gatech.edu; The School of Electrical and
Computer Engineering, Georgia Institute of Technology, Atlanta, GA
30332-0250
* Xenofon Koutsoukos, Xerox PARC; koutsouk@parc.xerox.com; Xerox Palo
Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA 94304
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