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Proceedings Paper

The Systems Approach For Applying Artificial Intelligence To Space Station Automation
Author(s): Vernon L. Grose
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Paper Abstract

The progress of technology is marked by fragmentation -- dividing research and development into ever narrower fields of specialization. Ultimately, specialists know everything about nothing. And hope for integrating those slender slivers of specialty into a whole fades. Without an integrated, all-encompassing perspective, technology becomes applied in a lopsided and often inefficient manner. A decisionary model, developed and applied for NASA's Chief Engineer toward establishment of commercial space operations, can be adapted to the identification, evaluation, and selection of optimum application of artificial intelligence for space station automation -- restoring wholeness to a situation that is otherwise chaotic due to increasing subdivision of effort. Issues such as functional assignments for space station task, domain, and symptom modules can be resolved in a manner understood by all parties rather than just the person with assigned responsibility -- and ranked by overall significance to mission accomplishment. Ranking is based on the three basic parameters of cost, performance, and schedule. This approach has successfully integrated many diverse specialties in situations like worldwide terrorism control, coal mining safety, medical malpractice risk, grain elevator explosion prevention, offshore drilling hazards, and criminal justice resource allocation -- all of which would have otherwise been subject to "squeaky wheel" emphasis and support of decision-makers.

Paper Details

Date Published: 23 December 1985
PDF: 7 pages
Proc. SPIE 0580, Space Station Automation I, (23 December 1985); doi: 10.1117/12.950850
Show Author Affiliations
Vernon L. Grose, National Transportation Safety Board (United States)

Published in SPIE Proceedings Vol. 0580:
Space Station Automation I
Wun C. Chiou, Editor(s)

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