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The use of artificial intelligence techniques to improve the multiple payload integration processA maximum return of science and products with a minimum expenditure of time and resources is a major goal of mission payload integration. A critical component then, in successful mission payload integration is the acquisition and analysis of experiment requirements from the principal investigator and payload element developer teams. One effort to use artificial intelligence techniques to improve the acquisition and analysis of experiment requirements within the payload integration process is described.
Document ID
19920014127
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Cutts, Dannie E. (Teledyne Brown Engineering Huntsville, AL, United States)
Widgren, Brian K. (Teledyne Brown Engineering Huntsville, AL, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1992
Publication Information
Publication: NASA. Goddard Space Flight Center, The 1992 Goddard Conference on Space Applications of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
92N23370
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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