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AIC Seminar Series

Preference-Based Planning

Sheila McIlraithUniversity of Toronto

Date:  2005-06-20 at 16:00

Location:  EJ228  (Directions)

   Abstract

Research in automated planning has historically focused on classical planning – generating a sequence of actions to achieve a user-defined goal, given a specification of a domain and an initial state. Nevertheless, in many real-world settings, plans are plentiful, and it is the generation of high-quality plans meeting users’ preferences and constraints that presents the biggest challenge. In this talk, we address the problem of specifying and generating preferred plans using rich, qualitative user preferences. We propose a logical language for specifying non-Markovian preferences over properties of potential plans. We provide a semantics for our first-order preference language in the situation calculus and prove that progression of our preference formulae preserves this semantics. This leads to the development of PPLAN, a best-first search planner that computes preferred plans. Our preference language and planning approach is amenable to integration with several existing planners, and beyond planning, can be used to support arbitrary dynamical reasoning tasks. Time permitting, we will discuss related work on personalization of agent programs through the use of qualitative and quantitative user preferences. This is joint work with Meghyn Bienvenu, Christian Fritz, and Shirin Sohrabi Araghi.

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