1998 Stanford Spring Symposium
Interactive and Mixed-Initiative Decision-Theoretic Systems
Building an interactive decision-theoretic problem solver raises a number of issues concerning elicitation of the domain model and presentation of the results. While standard techniques are available for eliciting probability and utility models, the elicitation task is typically time consuming and tedious. Elicitation in decision analysis has required specification of a complete model, even though much of the model may be irrelevant to the problem actually being solved. Furthermore, decision-analytic elicitation requries the skill of an expert to identify what information is important and what simplifying assumptions are appropriate. Problem solving results must be presented to the user in an easily intelligible form and one that facilitates communicating additional requirements to the system if the user is not satisfied with the results.
This symposium will provide a forum for identifying key problems to be
addressed and techniques for solving them. Issues to be addressed
include: the nature of interaction required by various applications;
representations and strategies that facilitate elicitation; inference
with incomplete models; use of different representations for
communication and inference; incorporation of constraints other than
probability and utility; and display of results to facilitate user
feedback.
Last updated 02/02/98 by Steve Hanks