Twelfth Conference on Uncertainty in Artificial Intelligence
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UAI-96 Conference Program
Access the UAI-96 Conference
A one-day intensive UAI course will be given on Wednesday, July 31, the day
before the start of the main UAI 96 conference. The course will provide an
immersive review of key topics in computational methods for reasoning under
uncertainty. Access the Full-Day
The 1996 UAI conference will be held at the Vollum Center at
in Portland Oregon.
to the Reed Campus are available online.
Reed is located about a 10 minute drive from downtown Portland, and there is a
bus line connecting the campus with the Oregon Convention Center where
, and the UAI-KDD Joint Sessions (Sunday, August 4) will be held.
to view information on accomodations.
For submission and program inquiries
Decision Theory Group
Redmond, WA, USA
Tel: (206) 936 2127
Fax: (206) 936 0502
Department of Mathematics and Computer Science
Fredrik Bajers Vej 7,E
DK-9220 Aalborg OE
Tel: +45 98 15 85 22 (ext. 5024)
Fax: +45 98 15 81 29
General Conference Chair
For general conference inquiries
Department of Computer Science and
University of Washington
Seattle, WA 98195
Tel: (206) 543 4784
Fax: (206) 543 2969
Link to list of members of the UAI
96 program committee
UAI-96 will occur on the campus of Reed College right before
KDD-96 (one day of overlap) and
, and will be in close proximity to these conferences.
Proceedings of UAI-95: The Proceedings of
UAI-95 can be accessed online.
General Information about UAI Proceedings
Collections of selected papers from the first six UAI conferences, 1985-1990,
were published as edited books by North-Holland under the title Uncertainty in
Since 1991, proceedings have been published by Morgan Kaufmann. Proceedings
from former years may be ordered directly from
Morgan Kaufmann Publishers
Index to Contents of UAI Proceedings (1991-1995)
For ordering copies of previous UAI proceedings, contact:
Marilynn Uffner Alan
Morgan Kaufmann Publishers
tel: 415-392-2665, fax: 982-2665
The UAI conference is organized under the auspices of the Association for
Uncertainty in AI (AUAI). The Association home page contains information on
several issues, including the UAI mailing list for email postings and
discussions of topics related to the representation and management of uncertain
The effective handling of uncertainty is critical in designing, understanding,
and evaluating computational systems tasked with making intelligent decisions.
For over a decade, the Conference on Uncertainty in Artificial Intelligence
(UAI) has served as the central meeting on advances in methods for reasoning
under uncertainty in computer-based systems. The conference is the annual
international forum for exchanging results on the use of principled
uncertain-reasoning methods to solve difficult challenges in AI. Theoretical
and empirical contributions first presented at UAI have continued to have
significant influence on the direction and focus of the larger community of AI
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 alternative paradigms of uncertain
reasoning. Innovative applications of automated uncertain reasoning have
spanned 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-96 that report on advances in the
core areas of representation, inference, learning, and knowledge acquisition,
as well as insights derived from building or using applications of uncertain
Topics of interest
Topics of interest include (but are not limited to):
Theoretical foundations of uncertain belief and decision
Uncertainty and models of causality
Representation of uncertainty and preference
Generalization of semantics of belief
Conceptual relationships among alternative calculi
Models of confidence in model structure and belief
Principles and Methods
Planning under uncertainty
Uncertainty and methods for learning and datamining
Markov processes and decisions under uncertainty
Qualitative methods and models
Abstraction in representation and inference
Automated construction of decision models
Integration of logical and probabilistic inference
Temporal reasoning and uncertainty
Representing intervention and persistence
Time-dependent utility and time-critical decisions
Computation and action under limited resources
Control of computational processes under uncertainty
Uncertainty and economic models of problem solving
Statistical methods and automated uncertain reasoning
Synthesis of Bayesian and neural net techniques
Algorithms for uncertain reasoning
Advances in diagnosis, troubleshooting, and test selection
Empirical Study and Applications
Empirical validation of methods for planning, learning, and diagnosis
Enhancing the human--computer interface with uncertain reasoning
Uncertain reasoning in embedded, situated systems (e.g., softbots)
Automated explanation of results of uncertain reasoning
Nature and performance of architectures for real-time reasoning
Experimental studies of inference strategies
Experience with knowledge-acquisition methods
Comparison of repres. and inferential adequacy of different calculi
Uncertain reasoning and information retrieval
For papers focused on applications in specific domains, we suggest that several
of the following issues be addressed in the submission
Papers submitted for review should represent original, previously unpublished
work. Submitted papers will be evaluated on the basis of originality,
significance, technical soundness, and clarity of exposition. Should a
submission be accepted, a revised version of the paper, that includes changes
based on the recommendations of UAI reviewers, must be received by the
camera-ready deadline. Click here
for details on UAI policy regarding parallel submission and uniqueness of
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?
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 methods were used to validate the effectiveness of the systems?
What approaches were effective (ineffective) in your domain?
Papers may be accepted for presentation in plenary or poster sessions. All
accepted papers will be included in the Proceedings of the Twelfth Conference
on Uncertainty in Artificial Intelligence, published by Morgan Kaufmann
Publishers. Outstanding student papers will be selected for special
distinction. Submitted papers must be at most 20 pages of 12pt Latex article
style or equivalent (about 4500 words). We strongly encourage the electronic
submission of papers. To submit a paper electronically, send an email message
to the program chairs at:
that includes the following information (in this order):
Paper title (plain text)
Author names, including student status (plain text)
Surface mail and Email address for a contact author (plain text)
A short abstract including keywords or topic indicators (plain text)
An electronic version of the paper (Postscript format) should be submitted
simultaneously via ftp to: cuai-96.microsoft.com/incoming. Files should be
named $.ps, where $ refers to an identifier created from the first five letters
of 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.
Authors will receive electronic confirmation of the successful receipt of their
articles. Authors who have difficulty ftping to the UAI 96 server should append
their postscript file to the end of the email containing the other paper
Authors unable to submit a postscript version of their paper should send the
first four items electronically to the email address above, and 5 copies of the
complete paper to one of the Program Chairs at the addresses listed below.
All submissions must be received by 5PM local time: March 1, 1996
Notification of acceptance by April 19, 1996
Camera-ready copy due: May 15, 1996