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
... specific methods, 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 ...
... specific methods, 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 ...
Page vi
... specific application cases. Each paper focuses on one or more aspects of the design activity and includes a survey introduction to the specific topic dealt with, together with an illustration of original proposals and results obtained ...
... specific application cases. Each paper focuses on one or more aspects of the design activity and includes a survey introduction to the specific topic dealt with, together with an illustration of original proposals and results obtained ...
Page 3
... specific competence domain by exploiting a knowledge base and a reasoning mechanism. Expert system technology has been developing very fast over the last decade and a huge amount of application projects has been started. However, while ...
... specific competence domain by exploiting a knowledge base and a reasoning mechanism. Expert system technology has been developing very fast over the last decade and a huge amount of application projects has been started. However, while ...
Page 4
... specific organization and application domain where the expert system is developed. On the contrary, the development process should be organized around a general, environment- and application-independent life cycle concept, whose ...
... specific organization and application domain where the expert system is developed. On the contrary, the development process should be organized around a general, environment- and application-independent life cycle concept, whose ...
Page 5
... specific set of activities to be executed, which are shortly outlined in the proposal. The authors do not describe in detail the activities related to the most specific aspects of expert system technology, but, on the other hand, they ...
... specific set of activities to be executed, which are shortly outlined in the proposal. The authors do not describe in detail the activities related to the most specific aspects of expert system technology, but, on the other hand, they ...
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