UR Research (University of Rochester) · 1987 · 228 citations · 30 references
Open access
ComputingComputer ScienceAlgorithmsFormal MethodsKnowledge RepresentationAutomated ReasoningDeductive ReasoningEvent RepresentationEvent SemanticsExpert SystemsPredicate LogicEvent TypesKnowledge-based InferenceMultiagent Expert SystemsPlan RecognitionReasoning ModelsRecognition ProblemsStory Understanding
The problem of recognizing an agent's plans arises in many contexts in work in artificial intelligence. The plan recognition techniques suggested in the literature are rarely formally justified. We view plan recognition as a special kind of non-monotonic reasoning, and demonstrate how formal techniques developed for such reasoning-- namely, circumscription and minimal entailment-- can be used in plan recognition. The first half of this paper reviews a broad range of work in artificial intelligence and philosophy which relates to plan recognition. A formal treatment of a simple case of plan recognition follows, and the paper concludes with proposals for future extensions of this
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