Broad Area Colloquium for Artificial Intelligence,
Geometry, Graphics, Robotics and Vision
Uncertainty, Intelligence, and Interaction
Eric Horvitz
Microsoft Research
Monday, March 4th, 2002, 4:15PM
Gates B01 http://robotics.stanford.edu/ba-colloquium/
Abstract
Uncertainty about a computer user's knowledge, intentions, and attention is
inescapable in the design and operation of computing applications and services.
I will present research on harnessing explicit representations of probability
and preferences in software applications, with a focus on challenges in
human-computer interaction. After highlighting key ideas in the context of
representative projects at Microsoft Research, I will discuss longer-term
research, aimed at embedding representation, inference, and learning under
uncertainty more deeply into the fabric of computer systems and
interfaces.
About the Speaker
Eric Horvitz is a Senior Researcher at Microsoft Research, where he
manages the
Adaptive Systems and Interaction group. His interests include principles
of
problem solving under scarce resources, and applications of probability
and
utility in information retrieval, communications, and human-computer
interaction. He is Area Editor of the Decisions, Uncertainty, and
Computation
Area of the Journal of the ACM, and serves on the Information Science
and
Technology (ISAT) Study Group of DARPA and the Naval Research Advisory
Committee (NRAC). He has also served on the Executive Council of the
AAAI and
on the board of the Association for Uncertainty and Artificial
Intelligence
(AUAI). He received PhD and MD degrees from Stanford University.