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 82
Page iv
... methods, products, instructions or ideas contained in the material herein. pp. 27–44; copyright not transferred. ISBN: 0 444 87.321 x Pub/ishers: ELSEVER SCIENCE PUBLISHERS B.V. P.O. BOX 103 1000 AC AMSTERDAM THE NETHERLANDS Sole ...
... methods, products, instructions or ideas contained in the material herein. pp. 27–44; copyright not transferred. ISBN: 0 444 87.321 x Pub/ishers: ELSEVER SCIENCE PUBLISHERS B.V. P.O. BOX 103 1000 AC AMSTERDAM THE NETHERLANDS Sole ...
Page v
... 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 effectively ...
... 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 effectively ...
Page 3
... methods and is not supported by sound and general methodologies. It is more like handicraft than engineering, and it lacks several of the desirable features of an industrial process (reliability, repeatability, work-sharing, cost ...
... methods and is not supported by sound and general methodologies. It is more like handicraft than engineering, and it lacks several of the desirable features of an industrial process (reliability, repeatability, work-sharing, cost ...
Page 9
... methods (procedures) for carrying out a practical task, and of the rules needed for correctly and effectively applying them. An industrial methodology for expert system development should be designed to satisfy two sets of requirements ...
... methods (procedures) for carrying out a practical task, and of the rules needed for correctly and effectively applying them. An industrial methodology for expert system development should be designed to satisfy two sets of requirements ...
Page 11
... methods and techniques derived from a long practical experience in developing projects. - View of computer systems as algorithms executors; software development is, thus, centered around the specification of how to let computers do what ...
... methods and techniques derived from a long practical experience in developing projects. - View of computer systems as algorithms executors; software development is, thus, centered around the specification of how to let computers do what ...
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