AIC Seminar Series
Approaches to Modeling and Learning User Preferences
|Marie desJardins||University of Maryland, Baltimore County||[Home Page]|
Date: Monday, March 10th 2008 at 11:00am
Location: EJ228 (SRI E building) (Directions)
In this talk, I will discuss two projects in the MAPLE
Laboratory at UMBC that are focusing on modeling and
learning user preferences for a variety of applications.
The first part of the talk will describe the methods that
we are developing for learning planning preferences in the
context of DARPAs Integrated Learning program. Given a single
planning trace, we show how to learn a preference function that
models the users preferences for alternative variable bindings
(e.g., which destination hospital to select when transporting a
wounded soldier). The learned preference function is
represented as a lexicographic ordering that characterizes
the relative importance of the object attributes. I will
also mention previous work that we have done in this domain
on extending CP-nets (conditional preference networks) to
handle preferences over continuous attributes.
The second part of the talk will describe an NSF-funded effort
in which we have developed a preference language and learning
algorithms for modeling preferences over sets of objects.
These preferences are useful in contexts where the system
is asked to retrieve a collection of relevant objects from
a larger pool. We are currently applying these methods to
the problem of selecting images to download from a Mars rover.
I will conclude by discussing other possible applications, and
how these two projects could be merged into a more general
framework for learning preferences for decision making.
Joint work with Fusun Yaman (UMBC) and Kiri Wagstaff (JPL)
Dr. Marie desJardins is an Associate Professor
of Computer Science at the University of Maryland, Baltimore
County. She received her Ph.D. in 1992 from the University of
California, Berkeley. Her research is in artificial
intelligence, primarily in the areas of multi-agent systems,
planning, and multi-agent systems, with a focus on interactive
AI and applications of AI. Prior to joining the faculty
at UMBC, she was a Senior Computer Scientist in the AI Center
at SRI International.