Location

Howard Johnson Plaza-Hotel, Atlantis/Discovery Rooms

Start Date

23-4-1992 1:00 PM

Description

As technology development and engineering problems have grown in complexity, technical systems have evolved to meet these challenges. This evolution has occurred within a foundation of traditional engineering analysis and work processes originating prior to current computer technology. These processes were designed to improvise and compensate for ambiguous design or analysis information. Systems engineering optimization of computer technology applications can eliminate or redesign engineering processes such that the unified system function focuses on innovation, flexibility, speed, and quality. "Artificial Expertise" for systems engineering refers to the application of artificial intelligence expert systems and shared data bases to promote the integration of cross-functional engineering groups through technical interchange and control mechanisms. This paper presents some conceptual applications and examples for implementing artificial expertise in system development.

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Apr 23rd, 1:00 PM

Paper Session III-A - Artificial Expertise in Systems Engineering

Howard Johnson Plaza-Hotel, Atlantis/Discovery Rooms

As technology development and engineering problems have grown in complexity, technical systems have evolved to meet these challenges. This evolution has occurred within a foundation of traditional engineering analysis and work processes originating prior to current computer technology. These processes were designed to improvise and compensate for ambiguous design or analysis information. Systems engineering optimization of computer technology applications can eliminate or redesign engineering processes such that the unified system function focuses on innovation, flexibility, speed, and quality. "Artificial Expertise" for systems engineering refers to the application of artificial intelligence expert systems and shared data bases to promote the integration of cross-functional engineering groups through technical interchange and control mechanisms. This paper presents some conceptual applications and examples for implementing artificial expertise in system development.

 

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