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
Results 1-5 of 71
Page v
... construction methodology. In fact, the development of expert systems does not follow the practice and methodologies established in the area of software engineering: expert system development is different from traditional software ...
... construction methodology. In fact, the development of expert systems does not follow the practice and methodologies established in the area of software engineering: expert system development is different from traditional software ...
Page vi
... construction, paying particular attention to the most distinguishing techniques, especially with respect to traditional software engineering. Introductory aspects of expert system technology have been explicitly excluded from the ...
... construction, paying particular attention to the most distinguishing techniques, especially with respect to traditional software engineering. Introductory aspects of expert system technology have been explicitly excluded from the ...
Page vii
... construction of knowledge-based systems: Experience with ADVISE and related programs Arthur B. Baskin and Ryszard S. Michalski Knowledge base design and construction: From prototyping to refinement Casimir A. Kulikouvski Part 4 ...
... construction of knowledge-based systems: Experience with ADVISE and related programs Arthur B. Baskin and Ryszard S. Michalski Knowledge base design and construction: From prototyping to refinement Casimir A. Kulikouvski Part 4 ...
Page 4
... construction of expert systems. The main standpoint in this work is that a methodology for developing expert systems, to be utilized in a real application environment, can not be defined in absolute terms, since it depends on the ...
... construction of expert systems. The main standpoint in this work is that a methodology for developing expert systems, to be utilized in a real application environment, can not be defined in absolute terms, since it depends on the ...
Page 5
... construction. Everybody agrees on the fact that the consideration of a development process divided into phases, each one described only at a very high level of abstraction, is not sufficient to guide design and implementation of real ...
... construction. Everybody agrees on the fact that the consideration of a development process divided into phases, each one described only at a very high level of abstraction, is not sufficient to guide design and implementation of real ...
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