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Partial Observability and Probabilistic Plan/Goal Recognition Christopher W. Geib, Honeywell Laboratories 3660 Technology Drive Minneapolis, MN 55418
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Document Date: 2009-08-06 12:04:58

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City

North Minneapolis / Minneapolis / /

Company

Wellman / Artificial Intelligence Planning Systems / Goldman / Honeywell Laboratories / SIFT LLC / /

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Facility

By building / Curtin University of Technology / /

IndustryTerm

assistive systems / stage explanation generation algorithm / increased search space / On-line student modeling / earlier solution / probabilistic plan recognition systems / specific probabilistic plan recognition algorithm / plan recognition algorithms / nuclear device / explanation search space / hierarchical task network / search space / formal and tested algorithm / bayesian networks / using bayesian networks / /

OperatingSystem

DOS / /

Organization

School of Computer Science / Curtin University / US Government / /

Person

James Hendler / Hung H. Bui / Michael Wellman / Eugene Charniak / Abigail S. Gertner / Robert P. Goldman / Marek J. Druzdzel / Christopher A. Miller / Dana S. Nau / Kurt VanLehn / David Pynadath / Kutluhan Erol / Christopher W. Geib / Cristina Conati / /

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Position

actor / /

ProvinceOrState

Minnesota / /

Technology

formal and tested algorithm / plan recognition algorithms / two stage explanation generation algorithm / PHATT algorithm / following algorithm / specific probabilistic plan recognition algorithm / DNS / artificial intelligence / 3660 Technology / base line PHATT algorithm / /

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