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Long range science scheduling for the Hubble Space TelescopeObservations with NASA's Hubble Space Telescope (HST) are scheduled with the assistance of a long-range scheduling system (SPIKE) that was developed using artificial intelligence techniques. In earlier papers, the system architecture and the constraint representation and propagation mechanisms were described. The development of high-level automated scheduling tools, including tools based on constraint satisfaction techniques and neural networks is described. The performance of these tools in scheduling HST observations is discussed.
Document ID
19910013462
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Miller, Glenn
(Space Telescope Science Inst. Baltimore, MD, United States)
Johnston, Mark
(Space Telescope Science Inst. Baltimore, MD, United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1991
Publication Information
Publication: NASA. Goddard Space Flight Center, The 1991 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
91N22775
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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