Papers from the AAAI Spring Symposium
Steve Hanks, ProgramChair
Both AI planning and decision theory are devoted to the problem of how an agent can or should choose a course of action, given information about the world and about its capabilities and preferences. Historically, the AI community has concentrated on the task of synthesizing plans from primitive actions, whereas research in decision theory and related disciplines has concentrated on formalizing and exploring frameworks for choosing among alternatives.
This symposium aims to unify current lines of research in AI planning with that in related disciplines--decision analysis, economics, and control theory, for example--by exploring how decision-theoretic constructs for describing an agent's preferences and uncertain beliefs can be applied to the problem of plan synthesis.