AAAI Publications, Workshops at the Twenty-Fourth AAAI Conference on Artificial Intelligence

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Plan Libraries for Plan Recognition: Do We Really Know What They Model?
Robert P. Goldman, Froduald Kabanza, Philipe Bellefeuille

Last modified: 2010-07-07


In this paper we explore challenges related to the engineering of plan libraries for plan recognition. This is an often overlooked problem, yet essential in the design of any real world plan recognizers. We mainly discuss challenges related to the evaluation of equivalence between plan libraries. We explain why this is a potential source of ill-conceived plan libraries. We consider an existing well-established probabilistic plan recognizer as vehicle for our discussion, using the formalism of probabilistic hierarchical task networks to represent plans. We propose avenues for exploring solutions to those challenges within that framework.


plan recognition; probabilistic plan recognition; plan grammars

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