Title |
Uncertain Reasoning in Open Worlds
|
Speaker |
Stuart Russell
Computer Science Division
University of California, Berkeley
russell@cs.berkeley.edu |
Date |
July 22, 2004 |
Time |
10-11am (PT)
11-12am (MT)
|
Location |
921/137 (CA)
980/24 (NM)
|
Abstract |
There has been a good deal of progress in recent years on the
problem of uncertain reasoning about objects and
relations. With few exceptions, however, work in this area
assumes *unique names* (every term in the modeling language
refers to a distinct object) and *domain closure* (there are no
objects besides those named by terms in the language). These
assumptions are untenable in many real-world settings, where
unknown objects may exist and there is uncertainty as to the
true identity of objects. Such settings include surveillance,
link detection, and information extraction. I will present a
formal language for specifying probability models that allow
for unknown objects and identity uncertainty, with applications
to wide-area freeway traffic monitoring and bibliographic
citation databases.
|
About the Speaker |
Stuart Russell received his B.A. with first-class honours in
physics from Oxford University in 1982, and his Ph.D. in
computer science from Stanford in 1986. He then joined the
faculty of the University of California at Berkeley, where he is
a professor of computer science, director of the Center for
Intelligent Systems, and holder of the Smith--Zadeh Chair in
Engineering. In 1990, he received the Presidential Young
Investigator Award of the National Science Foundation, and in
1995 he was cowinner of the Computers and Thought Award. He was
a 1996 Miller Professor of the University of California and was
appointed to a Chancellor's Professorship in 2000. In 1998, he
gave the Forsythe Memorial Lectures at Stanford University. He
is a Fellow and former Executive Council member of the American
Association for Artificial Intelligence and a Fellow of the
Association for Computing Machinery. He has published over 100
papers on a wide range of topics in artificial intelligence. His
books include "The Use of Knowledge in Analogy and Induction"
(Pitman, 1989), "Do the Right Thing: Studies in Limited
Rationality" (with Eric Wefald, MIT Press, 1991), and
"Artificial Intelligence: A Modern Approach" (with Peter Norvig,
Prentice Hall, 1995, 2003).
|
Host |
Keith B. Vanderveen, kbvande@sandia.gov, 925-294-3207, or
Monica Martinez-Canales, mmarti7@sandia.gov, 925-294-3157
|
This seminar series is hosted by the Computational Sciences and
Mathematics Research Department at Sandia National Labs in
Livermore, CA.
This seminar is funded by the Computer Science Research
Institute (CSRI).
To schedule a time to meet with the speaker before or after the talk,
please make arrangements with the host listed above.
Visitors from outside Sandia require at least 3 days notice in order
to attend. For more information, see http://csmr.ca.sandia.gov/csri/visitor.html.
The exception is any U.S. Citizens with a valid DOE badge. In this
case, call for "key service" using the phone at the turnstile in front
of Building 921. Alternatively, have the badge activated for site
access by going to the badge office in Building 911 (this access is
valid for a period of one year).
|