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Expert systems for Space Station automationThe expert systems required for automating key functions of the Manned Space Station (MSS) are explored. It is necessary that the expert systems developed be flexible, degrade gracefully in the case of a failure, and be able to work with incomplete data. The AI systems will have to perform interpretation and diagnosis, design, prediction and induction, and monitoring and control functions. Both quantitative and qualitative reasoning capabilities need improvements, as do automatic verification techniques, explanation and learning capabilities, and the use of metaknowledge, i. e., knowledge about the knowledge contained in the knowledge base. Information retrieval, fault isolation and manufacturing process control demonstrations are needed to validate expert systems for the MSS.
Document ID
19860029810
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Georgeff, M. P.
(SRI International Corp. Menlo Park, CA, United States)
Firschein, O.
(SRI International Artificial Intelligence Laboratory Menlo Park, CA, United States)
Date Acquired
August 12, 2013
Publication Date
November 1, 1985
Publication Information
Publication: IEEE Control Systems Magazine
Volume: 5
ISSN: 0272-1708
Subject Category
Spacecraft Design, Testing And Performance
Accession Number
86A14548
Funding Number(s)
CONTRACT_GRANT: NAS2-11864
Distribution Limits
Public
Copyright
Other

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