Topics in Expert System Design: Methodologies and ToolsC. Tasso, G. Guida Elsevier, 2014 M06 28 - 447 pages Expert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology.This book has a dual purpose: to offer concrete guidelines and tools to the designers of expert systems, and to promote basic and applied research on methodologies and tools. It is a coordinated collection of papers from researchers in the USA and Europe, examining important and emerging topics, methodological advances and practical experience obtained in specific applications. Each paper includes a survey introduction, and a comprehensive bibliography is provided. |
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Page v
Methodologies and Tools C. Tasso, G. Guida. PREFACE. Expert systems have been, in the last decade, one of the most successful achievements of artificial intelligence research. The potential of this novel technology in developing ...
Methodologies and Tools C. Tasso, G. Guida. PREFACE. Expert systems have been, in the last decade, one of the most successful achievements of artificial intelligence research. The potential of this novel technology in developing ...
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... expert system designers who like to keep up to date with the current state-ofthe-art in the field. From a broader perspective, it is aimed at promoting basic and applied research on methodologies and tools for expert system development ...
... expert system designers who like to keep up to date with the current state-ofthe-art in the field. From a broader perspective, it is aimed at promoting basic and applied research on methodologies and tools for expert system development ...
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Methodologies and Tools C. Tasso, G. Guida. Topics in Expert System Design G. Guida and C. Tasso (Editors) © Elsevier Science Publishers B.V. (North-Holland), 1989 3 BUILDING EXPERT SYSTEMS: FROM LIFE CYCLE TO DEVELOPMENT METHODOLOGY ...
Methodologies and Tools C. Tasso, G. Guida. Topics in Expert System Design G. Guida and C. Tasso (Editors) © Elsevier Science Publishers B.V. (North-Holland), 1989 3 BUILDING EXPERT SYSTEMS: FROM LIFE CYCLE TO DEVELOPMENT METHODOLOGY ...
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... expert system building methodology is still not yet available. The purpose of this paper is to present a coherent framework which can serve as a basis towards the development of a methodology for design and construction of expert systems ...
... expert system building methodology is still not yet available. The purpose of this paper is to present a coherent framework which can serve as a basis towards the development of a methodology for design and construction of expert systems ...
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... expert system development process. Also the two later proposals presented in (Harmon and King, 1985) and in (Waterman, 1986) can not again be considered detailed methodologies to be adopted for expert system development, as their level ...
... expert system development process. Also the two later proposals presented in (Harmon and King, 1985) and in (Waterman, 1986) can not again be considered detailed methodologies to be adopted for expert system development, as their level ...
Contents
25 | |
45 | |
Development tools | 179 |
Knowledge acquisition and modeling | 231 |
Validation and evaluation | 351 |
Further reading | 417 |
A STRUCTURED BIBLIOGRAPHY | 419 |
LIST OF CONTRIBUTORS | 437 |
AUTHOR INDEX | 441 |
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Topics in Expert System Design: Methodologies and Tools Giovanni Guida,Carlo Tasso Snippet view - 1989 |
Common terms and phrases
abstract activities AI Magazine application approach Artificial Intelligence attribute backward chaining behavior Breuker Building Expert Systems cognitive complete components Computer concepts conceptual model construction context cycle decision defined described diagnosis domain expert domain knowledge environment example Expert System Design expert system development expert system evaluation expert system technology expertise facilities Figure formal function goal graphical heuristics identified implementation important inductive inference input instance integrated interaction interface KADS KCML knowledge acquisition knowledge base Knowledge Craft knowledge elicitation knowledge engineer knowledge representation knowledge-based systems KRITON language layer LISP machine machine learning metaclasses methodology methods model-based reasoning MYCIN objects operations OPS5 output performance phase problem solving Proc programming Prolog protocol analysis prototype refinement relations reliability repertory grid represent requirements rule-based rules selection shells software engineering solution specific strategies structure task techniques Topics in Expert types validity values