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Goal-driven Automation of a Deep Space Communications Station: A Case Study in Knowledge Engineering for Plan Generation and ExecutionThis paper describes the application of Artificial Intelligence techniques for plan generation, plan execution, and plan monitoring to automate a Deep Space Communication Station. This automation allows a Communication station to respond to a set of tracking goals by appropriately reconfiguring the communications hardware and software to provide the requested communications services.
Document ID
20060041725
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Hill, R. W., Jr.
Chien, S. A.
Fayyad, K. V.
Chien, S.
Date Acquired
August 23, 2013
Publication Date
January 1, 1997
Subject Category
Communications And Radar
Distribution Limits
Public
Copyright
Other
Keywords
Artificial Intelligence

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