Interactive and Mixed-Initiative Decision-Theoretic Systems

Copyright © 1998, American Association for Artificial Intelligence. All rights reserved. 0738-4602-1998 / $2.00 travel preferences to build a single itinerary. Because it is usually impossible to ascertain ahead of time exactly what preference information will and will not be relevant to solving a particular problem, there is a need to interleave the elicitation of preference information with the problem-solving process itself. Fortunately, the richness of the decision-theoretic framework provides valuable flexibility in problem representation. Unimportant portions of a problem space can be represented using coarse preference information ■ The American Association for Artificial Intelligence Spring Symposium on Interactive and Mixed-Initiative DecisionTheoretic Systems was held at Stanford University from 23–25 March 1998. The symposium attracted approximately 30 researchers from around the world. Topics discussed included incremental model construction, user interaction, explanation generation, and applications.