| UMBC ebiquity |
Preference Elicitation in Constraint-Based Decision ProblemsTweetSpeaker: Craig Boutilier Start: Friday, April 07, 2006, 01:00PM End: Friday, April 07, 2006, 02:00PM Location: 325b Abstract: Preference elicitation is generally required when making or recommending
decisions on behalf of users whose utility function is not known with
certainty. Although one can engage in elicitation until a utility
function is perfectly known, in practice, this is infeasible. This talk
tackles this problem in constraint-based optimization. I will first
describe a graphical model for utility representation and issues
associated with elicitation in this model. I then discuss two methods
for optimization with imprecise utility information: a Bayesian approach
in which utility function ncertainty is quantified probabilistically;
and a distribution-free minimax
regret model. Finally, I will describe several heuristic strategies for
elicitation.
This work describes several joint projects with: Darius Braziunas, Relu
Patrascu, Pascal Poupart and Dale Schuurmans.
Host: Marie desJardins , |