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
... techniques and tools. Building expert systems still relies today on empirical approaches and it is more like handicraft than engineering. Methodologies and tools on which system designers and knowledge engineers can effectively rely in ...
... techniques and tools. Building expert systems still relies today on empirical approaches and it is more like handicraft than engineering. Methodologies and tools on which system designers and knowledge engineers can effectively rely in ...
Page vi
... techniques, especially with respect to traditional software engineering. Introductory aspects of expert system technology have been explicitly excluded from the coverage of the book, which therefore requires a good background in ...
... techniques, especially with respect to traditional software engineering. Introductory aspects of expert system technology have been explicitly excluded from the coverage of the book, which therefore requires a good background in ...
Page 6
... techniques employed in software engineering: in this case, requirement analysis is performed utilizing data flow diagrams and system development is supported by standard structured programming techniques. Quite differently from the ...
... techniques employed in software engineering: in this case, requirement analysis is performed utilizing data flow diagrams and system development is supported by standard structured programming techniques. Quite differently from the ...
Page 7
... techniques. The methodology is not yet completed since it covers only the initial phases of the life cycle and it does not deal with problem management aspects. Experimental work with KADS in several domains has proved its suitability ...
... techniques. The methodology is not yet completed since it covers only the initial phases of the life cycle and it does not deal with problem management aspects. Experimental work with KADS in several domains has proved its suitability ...
Page 10
... techniques and tools aimed at specific aspects or phases of the expert system development process (e.g., knowledge acquisition tools, project management tools, knowledge base verification and refinement techniques, etc.) and promote the ...
... techniques and tools aimed at specific aspects or phases of the expert system development process (e.g., knowledge acquisition tools, project management tools, knowledge base verification and refinement techniques, etc.) and promote the ...
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 |
Other editions - View all
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