A model of plan inference that distinguishes between the beliefs of actors and observers
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
A taxonomy of argumentation models used for knowledge representation
Artificial Intelligence Review
Robotics and Autonomous Systems
A preference-based theory of intention
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Getting serious about parsing plans: a grammatical analysis of plan recognition
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Models of plans to support communication: an initial report
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
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Intelligent agents who are situated in nuiltiagent domains must reason about one anothers' actions and plans. Following the tradition of earlier work in AI, we present a model of plan recognition as belief and intention ascription, an inherently defeasible reasoning process. However, we encode this process using a direct argumentation system. Within this system, we can make explicit statements about why one candidate ascription should be preferred over another. And we can avoid the overly strong assumption that the actor's plan is correct from the perspective of the observer--an assumption that was necessary in previous formalizations of plan recognition.