S E C O N D C A L L F O R P A P E R S
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** U A I 99 **
THE FIFTEENTH ANNUAL CONFERENCE ON
UNCERTAINTY IN ARTIFICIAL INTELLIGENCE
July 30-August 1, 1999
Royal Institute of Technology
Stockholm, Sweden=20
(near the site of IJCAI-99)
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Note extension of deadline for paper submissions (see important dates
below).
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Please visit the UAI-99 WWW page at http://uai99.iet.com. =20
=46or the first time, the Conference on Uncertainty in Artificial
Intelligence will be held outside North America. The conference will
occur immediately prior to IJCAI 99 and in close proximity to the
IJCAI-99 conference site.
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Invited speakers:
David Schum: "Sacco and Vanzetti: A Case Study in Evidential
Reasoning"
Philippe Smets: "Practical Uses of Belief Functions"
=46urther details on the program will be posted on the conference web
site when available.=20
* * *
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=20
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 wide application in the broad community, and by the success
of the systems in which the technology has been embedded. The UAI
Proceedings have become a basic reference for researches and
practitioners who want to know about both theoretical advances and the
latest applied developments in the field.
The scope of UAI covers a broad spectrum of approaches to automated
reasoning and decision making under uncertainty. Contributions to the
proceedings address topics that advance theoretical principles or
provide insights through empirical study of applications. Interests
include quantitative and qualitative approaches, and traditional as
well as non-classical paradigms of uncertain reasoning. Applications of
automated uncertain reasoning span a broad spectrum of tasks and
domains, including systems that make autonomous decisions and those
designed to support human decision making through interactive use.
We encourage submissions of papers for UAI '99 that report on advances
in the core areas of representation, inference, learning, and knowledge
acquisition, as well as on insights derived from building or using
applications of uncertain reasoning.
We encourage the submission of papers proposing new methodologies and
tools for model construction, representation, learning, inference and
experimental validation. Innovative ways to increase the expressive
power and the applicability spectrum of existing methods are
encouraged. Papers are welcome that present new applications of
uncertain reasoning and stress the methodological aspects of their
construction and use. Highlighting difficulties in existing procedures
and pointing at the necessary advances in foundations and algorithms is
considered an important role of presentations of applied research.
Topics of interest include (but are not limited to):
>> Foundations
* Conceptual relationships among different uncertainty calculi
* Higher order uncertainty and confidence in models
* Representation of uncertainty and preference
* Revision of belief and combination of information from multiple
sources
* Semantics of belief
* Theoretical foundations of uncertain belief and decision
* Uncertainty and models of causality
>> Principles and Methods
* Advances in diagnosis, troubleshooting, and test selection
* Algorithms for reasoning and decision under uncertainty
* Automated construction of inference and decision models =20
* Combination of models from different sources
* Computation and action under limited resources
* Control of computational processes under uncertainty
* Data structures for representation and inference
* Decision making under uncertainty
* Enhancing the human-computer interface 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, possibility and fuzzy logic,=20
belief functions, rough sets, and other formalisms
* Multiple agent reasoning
* Planning under uncertainty
* Qualitative methods and models
* Reasoning at different levels of abstraction
* Statistical methods for automated uncertain reasoning
* Temporal reasoning
* The representation and discovery of causal relationships
* Time-critical decisions
* Time-dependent utility
* Uncertain reasoning and information retrieval
* Uncertainty and methods for learning and data mining
>> Empirical Study 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 (e.g., softbots)
=46or papers focused on applications in specific domains, we suggest
that the following issues be addressed in the submission:
- - Why was it necessary to represent uncertainty in your domain?
- - What are the distinguishing properties of the domain and problem?
- - What kind of uncertainties does your application address?
- - Why did you decide to use your particular uncertainty formalism?
- - Which practical procedure did you follow to build the application?
- - What theoretical problems, if any, did you encounter?
- - What practical problems did you encounter?
- - Did users/clients of your system find the results useful?
- - Did your system lead to improvements in decision making?
- - What approaches were effective (ineffective) in your domain?
- - What methods were used to validate the effectiveness of the
system?
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SUBMISSION AND REVIEW OF PAPERS
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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 Fifteenth Conference on
Uncertainty in Artificial Intelligence, published by Morgan Kaufmann
Publishers.=20
All papers will be reviewed by at least three members of the conference
program committee. Names of program committee members are listed on
the conference web site.
An outstanding student paper will be selected for special distinction.
To be considered for the outstanding student paper award, the student
must be first author, and the student's advisor must certify enrollment
in an academic degree program during the 1998/99 academic year.=20
Instructions for certifying student status are available at
http://uai99.iet.com/instructions.html.
Authors are strongly encouraged to submit papers in the proceedings
format. Format information is available at
http://uai99.iet.com/instructions.html. Submitted papers must be no
more than ten pages in proceedings format, (about 7000 words).=20
Accepted papers will be limited to 8 pages with 2 additional pages for
a fee.
We strongly encourage the electronic submission of papers. To submit a
paper electronically, send an electronic version of the paper
(Postscript format) to the following address:
uai99@iet.com
The subject line of this message should be: $.ps, where $ is an
identifier created from the last name of the first author, followed by
the first initial of the author's first name. Multiple submissions by
the same first author should be indicated by adding a number (e.g.,
pearlj2.ps) to the end of the identifier.
Additionally, the paper abstract and data should be sent by using the
electronic form at the following address:
http://uai99.iet.com/data.html
Authors unable to submit papers electronically should send 5 copies of
the complete paper to one of the Program Chairs at the addresses listed
below.
Authors unable to use the electronic form to submit the abstract should
provide the following information (by sending a message to the e-mail
address above):
* Paper title (plain text)
* Author names, including student status (plain text)
* Surface mail address, e-mail address, and voice phone number
for a contact author (plain text)
* A short abstract including keywords (plain text)
* Primary and secondary classification indices selected from=20
conference topics listed above.
* Indicate the preferred type of presentation: poster or plenary
++++++++++++++++++++++++++++++
Important Dates
++++++++++++++++++++++++++++++
** Abstracts must be submitted electronically via
http://uai99.iet.com/data.html by: Sunday, February 21, 1999. If
author is unable to submit electronically, abstract must be received by
program chair by Sunday, February 21, 1999.
** All papers must be received by: Wednesday, February 24, 1999 (note
extension of previous deadline)
** Notification of acceptance on or before: Monday, April 12, 1999
** Camera-ready copy due: Friday, May 7, 1999
** Conference dates: Friday-Sunday, July 30 - August 1, 1999
** Full day course on Uncertain Reasoning: Thursday, July 29, 1999
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Conference E-mail Address
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Please send all inquiries (submissions and conference organization) to
the following e-mail address:
uai99@iet.com
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Program Co-chairs:
Kathryn Blackmond Laskey
Department of Systems Engineering and Operations Research
George Mason University
=46airfax, VA 22030-4444
USA
Phone: (703) 993-1644
=46ax: (703) 993-1706
E-mail: klaskey@gmu.edu
Henri Prade
I.R.I.T.
Universit=E9 Paul Sabatier
118 route de Narbonne
31062 Toulouse Cedex 4
=46RANCE
Phone: (33) 561 55 6579
=46ax : (33) 561 55 6239
E-mail: uai99@irit.fr
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General Conference Chair:
Gregory F. Cooper
Center for Biomedical Informatics
University of Pittsburgh
Suite 8084 Forbes Tower
200 Lothrop Street
Pittsburgh, PA 15213-2582
USA
Phone: (412) 647-7113
=46ax: (412) 647-7190
E-mail: gfc@cbmi.upmc.edu
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Refer to the UAI-98 WWW home page for late-breaking information:
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