Extending worksheet modelling software with expert system technology

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

Student-Teacher: The Learning Machine as an Instructional Device

1988 ◽  
Vol 4 (1) ◽  
pp. 57-70
Author(s):  
Carol Scheftic ◽  
George Darlington Wood
Keyword(s):  
Functional Analysis ◽  
Expert System ◽  
Socratic Method ◽  
Educational Tool ◽  
System Technology ◽  
Solution Strategy ◽  
Analysis Techniques ◽  
Acquisition Device ◽  
Learning Machine ◽  
Further Development

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.

Mechanical Product General Scheme CAD Based on Expert System Technology

1987 ◽  
Author(s):  
Yu Jun ◽  
Zhou Ji ◽  
Wang Qun
Keyword(s):  
Expert System ◽  
System Design ◽  
General Scheme ◽  
System Technology ◽  
Key Technology ◽  
Cad Systems

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.

An Experimental Examination of Information Technology and Compensation Structure Complementarities in an Expert System Context

2003 ◽  
Vol 17 (1) ◽  
pp. 19-41 ◽  
Author(s):  
Elaine G. Mauldin
Keyword(s):  
Expert System ◽  
Organizational Performance ◽  
Individual Factors ◽  
System Technology ◽  
Experimental Examination ◽  
Decision Accuracy ◽  
Compensation Structure ◽  
Technology Changes ◽  
Task Requirements ◽  
And Performance

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.

A Research of Direction Expert System Technology for Aircraft Maintenance

2011 ◽  
Vol 403-408 ◽  
pp. 1692-1695
Author(s):  
Zhi Qiu ◽  
Shou Miao Yu ◽  
Zheng Wang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Web Service ◽  
Expert Knowledge ◽  
Sql Server ◽  
Aircraft Maintenance ◽  
System Technology ◽  
Sql Server Database ◽  
Database Technology

An direction expert system for aircraft maintain with expert knowledge graphical building, three layers distributed web service, distance fault diagnosis and gather experience ability is introduced here. It is developed based on Delphi 6.0 utilizing multilayer web service, CLIPS expert system and SQL SERVER database technology.

An Intelligent Numerical Simulation Environment on Component-Based Models: Part I

2003 ◽  
Author(s):  
Weiwen Deng ◽  
Edward Y. L. Gu
Keyword(s):  
Numerical Simulation ◽  
Expert System ◽  
Dynamic System ◽  
Real World ◽  
Object Oriented ◽  
Physical Nature ◽  
Component Model ◽  
Simulation Environment ◽  
System Technology ◽  
Complex Dynamic

This paper mainly discusses numerical simulation on a component-based model, in which a large complex dynamic system is presumably partitioned into and modeled by a number of interconnected components, which often corresponds to the physical nature in the real world. An independent component computation (ICC) method is proposed to deal numerically with component-based models. With ICC method, each component model is numerically solved independently of, and concurrently with others. This method, combined with the object-oriented methodology and expert system technology, leads to an intelligent numerical simulation environment, which is presented in detail in Part II.

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