Implementation Of Expert System Technology On The Space Station

Author(s):  
Ardell Nease ◽  
Richard Fulwider II
1987 ◽  
Author(s):  
M. S. Crone ◽  
P. M. Julich ◽  
E. G. Dash ◽  
W. D. Wavering

1986 ◽  
Vol 16 (4) ◽  
pp. 107-117 ◽  
Author(s):  
Gerald A. Sullivan ◽  
Kenneth J. Fordyce

1988 ◽  
Vol 4 (1) ◽  
pp. 57-70
Author(s):  
Carol Scheftic ◽  
George Darlington Wood

This article presents QUERIOUS, an educational tool based on expert system technology, functional analysis techniques, and Socratic method. Using a knowledge acquisition device originally developed to allow specialists to impart their knowledge to expert systems, our tool asks students questions, leads them through functional analysis of a problem and, in effect, induces them to teach the system their solution strategy. An existing prototype is described, and a proposal for further development is presented.


Author(s):  
Yu Jun ◽  
Zhou Ji ◽  
Wang Qun

Abstract This paper expounds the requirements and capabilities of the application of expert system technology to mechanical product general scheme (MPGS) in CAD: systems, discusses the structure and the characteristicsof these systems, and studies the key technology in the procedure of system design.


2003 ◽  
Vol 17 (1) ◽  
pp. 19-41 ◽  
Author(s):  
Elaine G. Mauldin

This paper investigates the interaction between compensation structures and expert system technology. One hundred twenty-two participants selected a contract (fixed pay or performance-contingent incentives) and performed one of two risk-rating tasks either in the presence or absence of an externally valid expert system. For both tasks, the expert system increased decision accuracy only for participants selecting performance-contingent incentives, and these incentives increased decision accuracy only in the presence of the expert system, consistent with a complementary interaction. The results support the view that expert system technology changes task requirements and, hence, may also change self-selection and effort compensation contracting effects. The results provide evidence about the interdependence of organization, system, and individual factors in determining task performance, and suggest that organizational performance may be improved through the joint implementation of expert systems and performance-contingent incentives.


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