Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!seismo!rutgers!sri-unix!sri-spam!ames!ucbcad!ucbvax!K.CS.CMU.EDU!Steven.Minton From: Steven.Minton@K.CS.CMU.EDU Newsgroups: mod.ai Subject: Seminar - A Robust Approach to Plan Recognition (CMU) Message-ID: <8611190626.AA10215@ucbvax.Berkeley.EDU> Date: Tue, 11-Nov-86 17:51:22 EST Article-I.D.: ucbvax.8611190626.AA10215 Posted: Tue Nov 11 17:51:22 1986 Date-Received: Wed, 19-Nov-86 05:57:23 EST Sender: daemon@ucbvax.BERKELEY.EDU Organization: The ARPA Internet Lines: 16 Approved: ailist@sri-stripe.arpa This week's speaker is Craig Knoblock. Usual time and place, 3:15 in 7220. Title: A Robust Approach to Plan Recognition Abstract: Plan recognition is the process of inferring an agent's plans and goals from his actions. Most of the previous work on plan recognition has approached this problem by first hypothesizing a single goal and then attempting to match the actions with a plan for achieving that goal. Unfortuantely, there are some types of problems where focusing on a single hypothesis will mislead the system. I will present an architecture for plan recognition that does not require the system to choose a single goal, but allows several hypotheses to be considered simultaneously. This architecture uses an assumption-based truth maintenance system to maintain both the observed actions and the predictions about the agent's plans and goals.