Interactive and Mixed-Initiative Decision-Theoretic Systems
Papers from the AAAI Spring Symposium
Peter Haddawy and Steve Hanks,Cochairs
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 focused on specification of a complete model, even though much of the model may be irrelevant to the problem actually being solved. Furthermore, decision-analytic elicitation requires the skill of an expert to identify what information is important and what simplifying assumptions are appropriate. Once the model has been elicited and the appropriate analysis performed, 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 potential techniques for solving them.