First Call For Papers

Dan Geiger (dang@csa.CS.Technion.AC.IL)
Fri, 1 Nov 1996 14:53:00 +0100




** U A I 97 **



August 1-3, 1997

Providence, Rhode Island, USA


Visit the UAI-97 WWW page at


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 researchers.

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-97 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 also call for submissions of statements of open problems of wide
interest for a discussion in a plenary session (see details below).

Topics of interest include (but are not limited to):

>> Foundations

* 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
* Temporal reasoning
* Markov processes and decisions under uncertainty
* Qualitative methods and models
* Automated construction of decision models
* Abstraction in representation and inference
* Representing intervention and persistence
* Uncertainty and methods for learning and data mining
* Computation and action under limited resources
* Control of computational processes under uncertainty
* Time-dependent utility and time-critical decisions
* Uncertainty and economic models of problem solving
* Integration of logical and probabilistic inference
* Statistical methods for 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
* 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 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?
- 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




Papers submitted for review should represent original, previously
unpublished work (details on policy on submission uniqueness are
available at the UAI 97 www homepage). Submitted papers will be
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 Thirteenth Conference on
Uncertainty in Artificial Intelligence, published by Morgan Kaufmann
Publishers. An outstanding student paper will be selected for special

Submitted papers must be at most 20 pages of 12pt Latex article style
or equivalent (about 4500 words). See the UAI-97 homepage for
additional details about UAI submission policies.

We strongly encourage the electronic submission of papers. To submit
a paper electronically, send two email messages to the program chairs at

The first message 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

The second message includes an electronic version of the paper
(Postscript format). The subject line of the second 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., to the end of the
identifier. Authors will receive electronic confirmation of the
successful receipt of their articles.

Authors unable to submit papers electronically 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.




This year we plan to hold an experimental plenary session entitled
"Challenging Problems in Uncertain Reasoning" to discuss critical open
problems. We request that interested researchers submit a description
of a critical open problem of wide interest that they consider
relevant to UAI (according to the guidelines for regular papers). The
submission should include a clear unambiguous statement of the
problem, ideas on possible solutions, and a survey of the relevant
literature where applicable. The statement should be no more than four
pages in length. Problems selected by the program chairs will be
presented in a plenary session. For each problem selected, the author
will give a concise presentation of the problem and its prospective
solutions. Following the brief presentations, there will be open
discussion of the problem and potential solutions with the entire
audience. Although the Challenging Problems will not appear in the
proceedings, proposals will be posted on the UAI '97 web pages by May
15 to allow participants to study them and to interact with the


Important Dates


>> All submissions must be received by: Feb 23, 1997

>> Notification of acceptance on or before: April 11, 1997

>> Camera-ready copy due: May 9, 1997


Program Cochairs (submissions and program inquiries):

Dan Geiger
Computer Science Department
Technion, Israel Institute of Technology,
Haifa, 32000,

Phone: 972 4 829 4265
Fax: 972 4 8221128

Prakash P. Shenoy
University of Kansas School of Business
Summerfield Hall
Lawrence, KS 66045-2003

Phone: (913) 864-7551
Fax: (913) 864-5328

General Conference Chair (general conference inquiries):

Eric Horvitz

Decision Theory and Adaptive Systems Group
Microsoft Research, 9S
Redmond, WA 98052

Phone: (206) 936 2127
Fax: (206) 936 0502


UAI-97 will occur right after AAAI-97
and will be held in close proximity to AAAI-97.

* * *

Refer to the UAI-97 WWW home page for late-breaking information: