General Conference Chair
Max Chickering
Microsoft Research,

Program Co-chairs
Fahiem Bacchus
University of Toronto, Canada.

Senior Program Committee
Ronen Brafman, Ben Gurion U, Israel
Michael Collins, MIT, USA
Rina Dechter, UC Irvine, USA
Dieter Fox, U Washington, USA
Nir Friedman, Hebrew University, Israel
Linda van der Gaag, U Utrecht, Netherlands
Robert Givan, Purdue U, USA
Eric Horvitz, Microsoft Research, USA
Daphne Koller, Stanford U, USA
John Lafferty, CMU, USA
David McAllester, Toyota Tech  Institute, USA
Ron Parr, Duke U, USA
Avi Pfeffer, Harvard U, USA
Henri Prade, IRIT-CNRS, France
Thomas Richardson, U Washington, USA
Sam Roweis, U Toronto, Canada
Dale Schuurmans, U Alberta, Canada
Moshe Tennenholtz, Technion, Israel
Chris Williams, U Edinburgh, Scotland


Important Dates

  Wednesday, March 16, 2005, noon EST
Abstract submission

 Wednesday, March 23, 2005, noon EST
Full paper submission

 Wednesday, March 23, 2005, noon EST
Student paper certification

 Thursday, May 23, 2005, noon EST
Author notification

 Sunday, June 5, 2005, noon EST
Camera ready copy of accepted papers

These deadlines will be strictly enforced.

Further Information

UAI 2005
21st Conference on Uncertainty in Artificial Intelligence

July 26th-July 29th 2005
Edinburgh, Scotland

Call for Papers

Conference Details:

Since 1985, the Conference on Uncertainty in Artificial Intelligence (UAI) has been the primary international forum for presenting new results on the use of principled methods for reasoning under uncertainty within intelligent systems. The scope of UAI is wide, including, but not limited to, representation, automated reasoning, learning, decision making and knowledge acquisition under uncertainty.

The UAI 2005 conference will be held at the University of Edinburgh, Edinburgh, Scotland. The main technical session will be on July 27-29, and will be preceded with a tutorial program on July 26. The conference is collocated with IJCAI 2005 which follows immediately after UAI 2005.
Paper Submission:

We encourage submissions that report on theoretical or methodological advances in representation, automated reasoning, learning, decision making and knowledge acquisition under uncertainty. Submissions reporting on other work relevant to uncertainty within intelligent systems are also welcome, as are submissions that report on intelligent systems in which uncertainty plays a key role.

Submitted papers will be carefully evaluated on the basis of originality, significance, technical soundness, and clarity of exposition. Papers submitted for review should represent original, previously unpublished work. A submitted paper should not be under review by any other conference or scientific journal at the time it is submitted to UAI-2005 nor at any time during UAI-2005's reviewing period.

UAI-2005 requires electronic submission of papers and abstracts according to instructions that will be posted on the conference home page. If authors have special circumstances that prevent electronic submission, arrangements can be made directly with the program co-chairs listed below. Authors are required to submit a title and a short abstract a week before the paper submission deadline. Submitted papers must be prepared according to the UAI-2005 proceedings format and must be no more than eight (8) pages long, including figures and bibliography. Papers that deviate from these guidelines will be rejected without review. The conference home page will contain formatting information and provide access to style files and templates.

Accepted papers will be presented at the conference in either plenary or poster sessions. At least one of the paper's authors should be present at the conference to present the work. All accepted papers will be included in the Proceedings of the Twenty First Conference on Uncertainty in Artificial Intelligence. The program committee will select papers for special distinction in two categories at UAI-2005: a "Best Paper" award, and an "Outstanding Student Paper" award. The conference home page will contain instructions for certifying student status with regards to the latter award.