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. |
From inside the book
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Page 7
... represents a good example of how a large organization can approach the management of expert system projects. Also the two papers (Sargeant and Jardine, 1987) and (Cupello and Mishelevich, 1988) specifically address the topic of managing ...
... represents a good example of how a large organization can approach the management of expert system projects. Also the two papers (Sargeant and Jardine, 1987) and (Cupello and Mishelevich, 1988) specifically address the topic of managing ...
Page 12
... represents a fundamental step towards the development of a full methodology. In fact, the concept of life cycle provides a basic framework around which the activities prescribed by a methodology can be organized. The design of a life ...
... represents a fundamental step towards the development of a full methodology. In fact, the concept of life cycle provides a basic framework around which the activities prescribed by a methodology can be organized. The design of a life ...
Page 53
... represents an alarm at a monitoring station. As is typical with such languages, inheritance down a classification hierarchy is supported. Less typical, and perhaps unique, is that CRL enables inheritance (or value access) over arbitrary ...
... represents an alarm at a monitoring station. As is typical with such languages, inheritance down a classification hierarchy is supported. Less typical, and perhaps unique, is that CRL enables inheritance (or value access) over arbitrary ...
Page 54
... represent the range or domain of specified CRL relations. Knowledge Craft provides for flexibility by supporting ... represented as lisp functions, rather than as attributes or relations. Objectoriented programming proves invaluable for ...
... represent the range or domain of specified CRL relations. Knowledge Craft provides for flexibility by supporting ... represented as lisp functions, rather than as attributes or relations. Objectoriented programming proves invaluable for ...
Page 57
... represented as a CRL schema: the System, Knowledge-Base, Problem-Solver, Interface, and Environment. Each of these ... represents an application in its entirety. A system is defined by instantiating the relational slots -- has-problem ...
... represented as a CRL schema: the System, Knowledge-Base, Problem-Solver, Interface, and Environment. Each of these ... represents an application in its entirety. A system is defined by instantiating the relational slots -- has-problem ...
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