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11

IJCAI
2003

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A General Model for Online Probabilistic Plan Recognition

13 years 5 months ago

A General Model for Online Probabilistic Plan Recognition

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We present a new general framework for online istic plan recognition called the Abstract Hidden Markov Memory Model (AHMEM). The l is an extension of the existing Abstract Hidden Markov Model to allow the policy to have internal memory which can be updated in a Markov fashion. We show that the AHMEM can repre sent a richer class of probabilistic plans, and at the same time derive an efficient algorithm for plan recognition in the AHMEM based on the RaoBlackwellised Particle Filter approximate inference method.

Hung Hai Bui

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Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2003
Where	IJCAI
Authors	Hung Hai Bui

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