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Artificial intelligence costs, benefits, and risks for selected spacecraft ground system automation scenariosIn response to a number of high-level strategy studies in the early 1980s, expert systems and artificial intelligence (AI/ES) efforts for spacecraft ground systems have proliferated in the past several years primarily as individual small to medium scale applications. It is useful to stop and assess the impact of this technology in view of lessons learned to date, and hopefully, to determine if the overall strategies of some of the earlier studies both are being followed and still seem relevant. To achieve that end four idealized ground system automation scenarios and their attendant AI architecture are postulated and benefits, risks, and lessons learned are examined and compared. These architectures encompass: (1) no AI (baseline); (2) standalone expert systems; (3) standardized, reusable knowledge base management systems (KBMS); and (4) a futuristic unattended automation scenario. The resulting artificial intelligence lessons learned, benefits, and risks for spacecraft ground system automation scenarios are described.
Document ID
Document Type
Reprint (Version printed in journal)
Truszkowski, Walter F.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Silverman, Barry G.
(IntelliTek, Inc., Rockville, MD; George Washington University Washington, DC, United States)
Kahn, Martha
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hexmoor, Henry
(IntelliTek, Inc. Rockville, MD, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1988
Publication Information
Publication: Telematics and Informatics
Volume: 5
Issue: 3, 19
ISSN: 0736-5853
Subject Category
Ground Support Systems And Facilities (Space)
Accession Number
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