UAI-2000:
The Sixteenth Conference on Uncertainty
in Artificial Intelligence
Stanford University,
Stanford, CA
June 30 - July 3, 2000
As we approach the new millenium, advances in the theory and practice of
artificial intelligence have pushed intelligent systems to the forefront
of the information technology sector. At the same time, uncertainty
managament has come to play a central role in the development of
intelligent systems. The Conference on Uncertainty in Artificial
intelligence, organized annually under the auspices of the Association for
Uncertainty in AI (AUAI) [http://www.auai.org], is the premier
international forum for exchanging results on the use of principled
uncertain-reasoning methods in intelligent systems.
The Sixteenth Conference on Uncertainty in Artificial, UAI-2000, will be
held from June 30 - July 3, 2000, at Stanford University. The main
technical program will be run from July 1-3, with UAI's regular tutorial
program and several workshops to be held on June 30. As in 1998 in
Madison, WI, this year the conference will be co-located with the
International Conference on Machine Learning and the Conference on
Compuational Learning theory.
* The Seventeenth International Conference on Machine Learning (ICML-2000)
[http://hypatia.stanford.edu/icml2k]
* Conference on Computational Learning Theory (COLT-2000)
Registrants to any of COLT, ICML, or UAI will be allowed to attend,
without additional cost, the technical sessions of the other two
conferences.
Please check the UAI-2000 home page [http://www.cs.toronto.edu/~uai2000]
regularly for updates on conference details, submission requirements, etc.
===================
UAI-2000: Preliminary Call for Papers
Uncertainty management is a key enabling technology for the development
of intelligent systems. Since 1985, the Conference on Uncertainty in
Artificial Intelligence (UAI) has been the primary international forum
for exchanging results on the use of principled uncertain-reasoning
methods in intelligent systems. The conference has catalyzed advances
in fundamental theory, efficient algorithms, and practical applications.
Theory and technology first presented at UAI have been proven by their
wide application in the scientific, commercial, and industrial
communities, and by the success of the systems in which these
technologies have been employed. The UAI Proceedings have become a
fundamental reference for researchers and practitioners who want to know
about both theoretical advances and the latest applied developments in
the field.
The scope of UAI is wide, covering a broad spectrum of approaches to
automated reasoning, learning, decision making and knowledge acquisition
under uncertainty. Contributions range from those that that advance
theoretical principles to those that provide insights through the
empirical study of applications, from quantitative to qualitative
approaches, from traditional to non-classical paradigms for uncertain
reasoning, and from autonomous systems to those designed to support
human decision making. We encourage submissions of papers for UAI-2000
that report on advances in the core areas of representation, inference,
learning, decision making, and knowledge acquisition, as well those
dealing with on insights derived from the construction and use of
applications involving uncertain reasoning.
Topics of interest include (but are not limited to):
O Foundations
* Relationships between different uncertainty calculi
* Higher-order uncertainty and model confidence
* Representation of uncertainty and preferences
* Revision of belief, combination of information from
multiple sources
* Semantics of belief
* Theoretical foundations of uncertainty and decision-making
* Uncertainty and models of causality
O Principles and Methods
* Algorithms for reasoning and decision making under uncertainty
* Automated construction of inference and decision models
* Combination of models from different sources
* Control of computational processes under uncertainty
* Data structures for representation and inference
* Decision making under uncertainty
* Diagnosis, troubleshooting, and test selection
* Enhancing human-computer interaction with uncertain reasoning
* Explanation of results of uncertain reasoning
* Formal languages to represent uncertain information
* Hybridization of methodologies and techniques
* Integration of logic with uncertainty calculi
* Markov decision processes
* Methods based on probability, possibilistic and fuzzy logic,
belief functions, rough sets, and other formalisms
* Multi-agent reasoning and Economic Models involving uncertainty
* Planning under uncertainty
* Qualitative methods and models
* Reasoning at different levels of abstraction
* Reinforcement Learning
* Representation and Discovery of causal relationships
* Resource-bounded Computation (inference, learning, decision making)
* Statistical Methods for Automated Uncertain Reasoning
* Temporal reasoning
* Time-critical decisions
* Uncertain reasoning and information retrieval
* Uncertainty and methods for learning and data mining
O Empirical Studies and Applications
* Comparison of representation and inferential adequacy of
different calculi
* Empirical validation of methods for planning, learning, and diagnosis
* Experience with knowledge-acquisition methods
* Experimental studies of inference strategies
* Methodologies for problem modeling
* Nature and performance of architectures for real-time reasoning
* Uncertain reasoning in embedded, situated systems
For papers focused on applications in specific domains, we suggest that
the following issues be addressed in the submission:
O Why was it necessary to represent uncertainty in your domain?
O What are the distinguishing properties of the domain and problem?
O Why did you decide to use your particular uncertainty formalism?
O Which practical procedure did you follow to build the application?
O What theoretical problems, if any, did you encounter?
O What practical problems did you encounter?
O Did users/clients of your system find the results useful?
O Did your system lead to improvements in decision quality?
O What approaches were effective (ineffective) in your domain?
O What methods were used to validate the effectiveness of the system?
Submission Information
Precise submission details will be made available in the final call for
papers. However, UAI will require electronic submission of papers and
abstracts (if authors have special circumstances that prevent electronic
submission, arrangements can be made directly with the program chairs
below). Papers will be due (tentatively) on February 17, 2000.
The Final Call for Papers will be made available in the near future at
the UAI-2000 Home Page [http://www.cs.toronto.edu/~uai2000].
Please check that page regularly for up-to-date information on the
conference.
Preliminary Deadlines (to be confirmed in the final CFP):
The deadline for electronic submissions to UAI-2000 is
Thursday, February 17, 2000. Other important dates:
O Electronic Submission of Abstracts (200 Word Limit): Friday,
February 11, 2000
O Electronic Submission of Full Papers: Thursday, February 17, 2000
O Author Notification of Accepted Papers: Sunday, April 9, 2000
O Camera-ready Copy of Accepted Papers due: Tuesday, May 9, 2000
O Workshops and Tutorials: Friday, June 30, 1999
O Technical Program: Saturday, July 1 - Monday, July 3
Submission Requirements (to be confirmed in the final CFP):
Papers submitted for review should represent original, previously
unpublished work. Papers should not be under review for presentation in
any other conference; however, an extended version of the paper may be
under review for publication in a scientific journal. Submitted papers
will be carefully evaluated on the basis of originality, significance,
technical soundness, and clarity of exposition. Papers may be accepted
for presentation in plenary or poster sessions. All accepted papers will
be included in the Proceedings of the Sixteenth Conference on
Uncertainty in Artificial Intelligence, published by Morgan Kaufmann
Publishers.
An outstanding student paper will be selected for special distinction at
UAI-2000. Instructions to be considered for this award will be provided in
the final Call for Papers.
Authors are strongly encouraged to submit papers in the proceedings
format. Submitted papers must be no more than eight pages in proceedings
format, including figures and bibliography (about 5600 words). Accepted
papers will be alloted eight pages in the conference proceedings, with two
additional pages available for a fee. Format information and links to
appropriate style files for paper preparation will be made available with
the Final Call for Papers. The format will be identical to that used for
recent UAI conferences; see
Uncertainty in Artificial Intelligence Conferences:
Electronic Proceedings
[http://www2.sis.pitt.edu/~dsl/UAI/uai.html]
Conference Organization
Please direct general inquiries to the General Conference Chair
at [EMAIL PROTECTED] Inquiries about the conference program and
submission requirements should be directed to the Program Co-Chairs
at [EMAIL PROTECTED]
Conference Chairs
General Conference Chair:
Kathryn Blackmond Laskey
Department of Systems Engineering and Operations Research
George Mason University
Fairfax, VA 22030-4444
USA
- ---
Phone: +1 (703) 993-1644
Fax: +1 (703) 993-1521
E-mail: [EMAIL PROTECTED]
Program Co-chairs:
Craig Boutilier
Department of Computer Science
University of Toronto
Toronto, ON M5S 3H5
CANADA
- ---
Phone: +1 (416) 946-5714
Fax: +1 (416) 978-1455
E-mail: [EMAIL PROTECTED]
Moises Goldszmidt
Peasktone Corporation
155A Moffett Park Drive
Sunnyvale, CA 94089
USA
- ---
Phone: +1 (408) 752-1024
Fax: +1 (408) 752-1040
E-mail: [EMAIL PROTECTED]