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Proceedings Paper

Establishing joint goals through observation
Author(s): Michael Van Wie
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Paper Abstract

When interacting with intelligent agents, it is vital to understand something of their intentions. Agents' intentions provide context in spoken deluge, help to define their future plans (and thus actions), and reveal information about their beliefs. We propose a method by which agents' intentions are inferred by observing their actions. Explicit communication among agents is not permitted. The joint intentions framework specifies the behaviors and obligations of agents that share in a cooperative intention. Our work focuses on the creation of such joint intentions through observation and plan recognition. The plan recognition structure uses Bayes nets to reason from observations to actions, and hidden Markov models to reason from sequences of actions to intent.

Paper Details

Date Published: 26 September 1997
PDF: 11 pages
Proc. SPIE 3208, Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling, (26 September 1997); doi: 10.1117/12.290281
Show Author Affiliations
Michael Van Wie, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 3208:
Intelligent Robots and Computer Vision XVI: Algorithms, Techniques, Active Vision, and Materials Handling
David P. Casasent, Editor(s)

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