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Statistics / Inductive reasoning / Measurement / Bayesian statistics / Statistical theory / Probability / Entropy


Plan Libraries for Plan Recognition: Do We Really Know What They Model?
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Document Date: 2011-08-12 19:09:10


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City

Minneapolis / /

Company

Goldman / MIT Press / Morgan Kaufmann Publishers Inc. / Philipe Bellefeuille SIFT LLC / /

Country

United States / /

Currency

pence / /

/

Facility

library of Figure / /

IndustryTerm

state transition systems / probabilistic hierarchical task networks / theoretical tools / sufficient engineering tool / Plan recognition systems / intelligent help systems / transition systems / probabilistic plan recognition algorithm / using probabilistic hierarchical task networks / /

Organization

Association for the Advancement / Artificial Intelligence / Artificial Copyright Intelligence / MIT / /

Person

Robert P. Goldman Froduald Kabanza / /

Position

knowledge engineer / probabilistic HTN model for plan recognition / player / model / it might alleviate this problem somewhat / /

ProvinceOrState

Minnesota / /

Technology

simulation / artificial intelligence / probabilistic plan recognition algorithm / /

URL

www.aaai.org / /

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