Twelfth Conference on Uncertainty in Artificial Intelligence

August 1-3, 1996

Reed College and Oregon Convention Center
Portland, Oregon, USA

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UAI-96 Conference Program

Access the UAI-96 Conference Program.

UAI-96 Full-Day Course

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 Course Program .

Location of the Conference

The 1996 UAI conference will be held at the Vollum Center at Reed College in Portland Oregon.

Directions 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 KDD-96, AAAI-96 , and the UAI-KDD Joint Sessions (Sunday, August 4) will be held.

Click here to view information on accomodations.

UAI-96 Program Chairs

For submission and program inquiries :

Eric Horvitz
Decision Theory Group
Microsoft Research, 9S
Redmond, WA, USA

Tel: (206) 936 2127
Fax: (206) 936 0502
email: horvitz@microsoft.com

Finn Jensen
Department of Mathematics and Computer Science
Aalborg University
Fredrik Bajers Vej 7,E
DK-9220 Aalborg OE
Denmark

Tel: +45 98 15 85 22 (ext. 5024)
Fax: +45 98 15 81 29
email: fvj@iesd.auc.dk

General Conference Chair

For general conference inquiries :

Steve Hanks
Department of Computer Science and Engineering, FR--35
University of Washington
Seattle, WA 98195
Tel: (206) 543 4784
Fax: (206) 543 2969
email: hanks@cs.washington.edu

UAI 96 Program Committee

Link to list of members of the UAI 96 program committee .

Conferences in close proximity

UAI-96 will occur on the campus of Reed College right before KDD-96 (one day of overlap) and AAAI-96 , and will be in close proximity to these conferences.

Conference proceedings from earlier years

General UAI Information

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 information.

Relevant Pointers

UAI-96 Call for Papers

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-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 reasoning.

Topics of interest

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

Foundations

Principles and Methods

Empirical Study and Applications

For papers focused on applications in specific domains, we suggest that several of the following issues be addressed in the submission :

Submission and Review of Papers

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 submission.

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:

uai@microsoft.com

that includes the following information (in this order):

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 information.

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.

Important Dates