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Record Details

Record 11 of 11373
Intelligent systems engineering methodology
Author and Affiliation:
Fouse, Scott(ISX Corp., Thousand Oaks, CA, United States)
Abstract: An added challenge for the designers of large scale systems such as Space Station Freedom is the appropriate incorporation of intelligent system technology (artificial intelligence, expert systems, knowledge-based systems, etc.) into their requirements and design. This presentation will describe a view of systems engineering which successfully addresses several aspects of this complex problem: design of large scale systems, design with requirements that are so complex they only completely unfold during the development of a baseline system and even then continue to evolve throughout the system's life cycle, design that involves the incorporation of new technologies, and design and development that takes place with many players in a distributed manner yet can be easily integrated to meet a single view of the requirements. The first generation of this methodology was developed and evolved jointly by ISX and the Lockheed Aeronautical Systems Company over the past five years on the Defense Advanced Research Projects Agency/Air Force Pilot's Associate Program, one of the largest, most complex, and most successful intelligent systems constructed to date. As the methodology has evolved it has also been applied successfully to a number of other projects. Some of the lessons learned from this experience may be applicable to Freedom.
Publication Date: Jan 01, 1990
Document ID:
19940005466
(Acquired Dec 28, 1995)
Accession Number: 94N72221
Subject Category: SPACECRAFT DESIGN, TESTING AND PERFORMANCE
Coverage: Abstract Only
Document Type: Conference Paper
Publication Information: NASA. Johnson Space Center, Space Station Evolution Conference: Abstracts for Technical Sessions; p 47
Publisher Information: United States
Financial Sponsor: NASA; United States
Organization Source: ISX Corp.; Thousand Oaks, CA, United States
Description: 1p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: No Copyright
NASA Terms: ARTIFICIAL INTELLIGENCE; EXPERT SYSTEMS; SPACE STATION FREEDOM; SYSTEMS ENGINEERING; COMPUTERIZED SIMULATION; KNOWLEDGE BASES (ARTIFICIAL INTELLIGENCE)
Imprint And Other Notes: In NASA. Johnson Space Center, Space Station Evolution Conference: Abstracts for Technical Sessions p 47 (SEE N94-72177 21-18)
Availability Source: Other Sources
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