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 47
... Knowledge. Craft". meets. these. requirements,. Section. 3 gives concrete meaning to a rather open, and ill-defined, set of terms. While it would be interesting to examine how other tools realize these requirements, that is beyond the scope ...
... Knowledge. Craft". meets. these. requirements,. Section. 3 gives concrete meaning to a rather open, and ill-defined, set of terms. While it would be interesting to examine how other tools realize these requirements, that is beyond the scope ...
Page 52
... scope of this paper. Further description is available from Carnegie Group Inc., 5 PPG Place, Pittsburgh, Pa. 15222 and [6]. knowledge bases or domain models. Objects (called schemata) may be 52 G.S. Kahn and M. Bauer 3. KNOWLEDGE CRAFT.
... scope of this paper. Further description is available from Carnegie Group Inc., 5 PPG Place, Pittsburgh, Pa. 15222 and [6]. knowledge bases or domain models. Objects (called schemata) may be 52 G.S. Kahn and M. Bauer 3. KNOWLEDGE CRAFT.
Page 53
... Knowledge Craft includes software engineering workbenches for both system design and knowledge-base expansion. Workbenches, called workcenters, are tailored to the use of CRL, CRL-OPS, and CRL-PROLOG. As Window and Command system ...
... Knowledge Craft includes software engineering workbenches for both system design and knowledge-base expansion. Workbenches, called workcenters, are tailored to the use of CRL, CRL-OPS, and CRL-PROLOG. As Window and Command system ...
Page 54
... Knowledge Craft provides for flexibility by supporting interpretive execution. This enables developers to modify programs without needing to recompile large knowledge bases or program modules. Knowledge Craft is implemented in Common ...
... Knowledge Craft provides for flexibility by supporting interpretive execution. This enables developers to modify programs without needing to recompile large knowledge bases or program modules. Knowledge Craft is implemented in Common ...
Page 55
... Knowledge Craft also supports an agenda mechanism that is especially suited to scheduling or other event-driven applications. Support for event queues and user-defined evaluation metrics enables blackboard architectures to be easily ...
... Knowledge Craft also supports an agenda mechanism that is especially suited to scheduling or other event-driven applications. Support for event queues and user-defined evaluation metrics enables blackboard architectures to be easily ...
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