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 viii
... knowledge acquisition for intelligent system design Emilie M. Roth and David D. Woods Models of expertise in ... elicitation Joachim Diederich and Marc Linster Part 6. Validation and evaluation 233 265 297 323 Knowledge base verification ...
... knowledge acquisition for intelligent system design Emilie M. Roth and David D. Woods Models of expertise in ... elicitation Joachim Diederich and Marc Linster Part 6. Validation and evaluation 233 265 297 323 Knowledge base verification ...
Page 15
... knowledge acquisition activity is performed, which is devoted to identifying an appropriate conceptual model for the ... elicitation from the experts; - knowledge coding and loading in the knowledge base; - verification and refinement ...
... knowledge acquisition activity is performed, which is devoted to identifying an appropriate conceptual model for the ... elicitation from the experts; - knowledge coding and loading in the knowledge base; - verification and refinement ...
Page 54
... elicitation of functional requirements demands modularity to enable both problem decomposition ( "divide and conquer" strategies), and rapid incremental refinement. Knowledge Craft provides several kinds of modularity. First, the CRL ...
... elicitation of functional requirements demands modularity to enable both problem decomposition ( "divide and conquer" strategies), and rapid incremental refinement. Knowledge Craft provides several kinds of modularity. First, the CRL ...
Page 250
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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