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 92
Page 5
... implementation of real applications in a cost-effective way, within time and budget constraints, as it is the case with conventional software systems. These considerations motivate the appearance of specific methodological proposals ...
... implementation of real applications in a cost-effective way, within time and budget constraints, as it is the case with conventional software systems. These considerations motivate the appearance of specific methodological proposals ...
Page 6
... implementation. Specific automatic tools, well integrated with the methodology, are capable of supporting designer and knowledge engineer during the execution of the above mentioned activities. The proposal features two evident ...
... implementation. Specific automatic tools, well integrated with the methodology, are capable of supporting designer and knowledge engineer during the execution of the above mentioned activities. The proposal features two evident ...
Page 7
... implementation techniques. The methodology is not yet completed since it covers only the initial phases of the life cycle and it does not deal with problem management aspects. Experimental work with KADS in several domains has proved ...
... implementation techniques. The methodology is not yet completed since it covers only the initial phases of the life cycle and it does not deal with problem management aspects. Experimental work with KADS in several domains has proved ...
Page 12
... implementation and installation Phase 5 - Operation, maintenance, and extension. The identification of the five phases listed above is the result of a comparative analysis of the numerous alternatives resulting from literature and ...
... implementation and installation Phase 5 - Operation, maintenance, and extension. The identification of the five phases listed above is the result of a comparative analysis of the numerous alternatives resulting from literature and ...
Page 16
... implementation of the complete prototype. Phase 3 takes in input the relevant parts of the revised and extended version of the plausibility report produced in Phase 2. At the beginning a wide knowledge acquisition activity is performed ...
... implementation of the complete prototype. Phase 3 takes in input the relevant parts of the revised and extended version of the plausibility report produced in Phase 2. At the beginning a wide knowledge acquisition activity is performed ...
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