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 4
... defined in absolute terms, since it depends on the 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 ...
... defined in absolute terms, since it depends on the 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 ...
Page 6
... defines, very synthetically, a complete expert system life cycle to be followed in all ESA internal applications ... definition of a methodology for expert system construction. The level of the illustration is sufficient for effectively ...
... defines, very synthetically, a complete expert system life cycle to be followed in all ESA internal applications ... definition of a methodology for expert system construction. The level of the illustration is sufficient for effectively ...
Page 7
... define a methodology, called KADS, to be utilized for expert system development (Breuker, Wielinga, and Hayward, 1986). The proposal appears, at the current moment, as the most engineered and tooloriented one: it refers to a complete ...
... define a methodology, called KADS, to be utilized for expert system development (Breuker, Wielinga, and Hayward, 1986). The proposal appears, at the current moment, as the most engineered and tooloriented one: it refers to a complete ...
Page 9
... definition of a life cycle is therefore a key point in the progress from craftsmanship to engineering. We claim that the specific case of expert systems is no exception to this general situation: if we aim at developing a full ...
... definition of a life cycle is therefore a key point in the progress from craftsmanship to engineering. We claim that the specific case of expert systems is no exception to this general situation: if we aim at developing a full ...
Page 10
... definition. These are shortly described below: - In expert system development decisions about project feasibility and appropriateness of the technology are much more complex and critical than in a traditional software engineering ...
... definition. These are shortly described below: - In expert system development decisions about project feasibility and appropriateness of the technology are much more complex and critical than in a traditional software engineering ...
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