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R.J. Allwood and A. Goodier

Department of Civil Engineering, University of Technology, Loughborough, Leicestershire, England

doi:10.4203/ccp.14.6.1

R.J. Allwood, A. Goodier, "Overall Strategies for Diagnostic Expert Systems", in B.H.V. Topping, A.I. Khan, (Editors), "Information Technology for Civil & Structural Engineers", Civil-Comp Press, Edinburgh, UK, pp 73-78, 1993. doi:10.4203/ccp.14.6.1

Abstract

Expert systems are excellent tools for application to problems of diagnosis. However, creating an acceptable diagnostic system is not only a task of collecting, analysing and coding knowledge. The sequence in which questions are asked of a user consulting the system and the speed with which it "homes in" on a correct diagnosis are just as important as having a large and verified knowledge base. Several different strategies for controlling these factors are presented in this paper using examples of actual systems. The facilities provided in typical expert system shells are shown to be not particularly convenient for implementing such strategies but examples of coding are given.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 14 INFORMATION TECHNOLOGY FOR CIVIL & STRUCTURAL ENGINEERS Edited by: B.H.V. Topping and A.I. Khan Paper VI.1 Overall Strategies for Diagnostic Expert Systems R.J. Allwood and A. Goodier Department of Civil Engineering, University of Technology, Loughborough, Leicestershire, England doi:10.4203/ccp.14.6.1 purchase the full-text of this paper Full Bibliographic Reference for this paper R.J. Allwood, A. Goodier, "Overall Strategies for Diagnostic Expert Systems", in B.H.V. Topping, A.I. Khan, (Editors), "Information Technology for Civil & Structural Engineers", Civil-Comp Press, Edinburgh, UK, pp 73-78, 1993. doi:10.4203/ccp.14.6.1 Abstract Expert systems are excellent tools for application to problems of diagnosis. However, creating an acceptable diagnostic system is not only a task of collecting, analysing and coding knowledge. The sequence in which questions are asked of a user consulting the system and the speed with which it "homes in" on a correct diagnosis are just as important as having a large and verified knowledge base. Several different strategies for controlling these factors are presented in this paper using examples of actual systems. The facilities provided in typical expert system shells are shown to be not particularly convenient for implementing such strategies but examples of coding are given. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £60 +P&P)
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