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 87
Page 11
... objects of design and development activities: in complex systems even the conventional distinction between knowledge base and inference engine becomes fuzzy. - Concrete experience with the design and development of real-size projects is ...
... objects of design and development activities: in complex systems even the conventional distinction between knowledge base and inference engine becomes fuzzy. - Concrete experience with the design and development of real-size projects is ...
Page 41
... object-oriented programming facilities, and Lisp code [4]. The COMPASS program was designed to be transferred out of GTE Laboratories to other organizations for operation and maintenance, and therefore techniques to support program ...
... object-oriented programming facilities, and Lisp code [4]. The COMPASS program was designed to be transferred out of GTE Laboratories to other organizations for operation and maintenance, and therefore techniques to support program ...
Page 49
... objects (frames, schemata) and rules (with forward and backward chaining) are preferred, even though performance and maintainability objectives may be better met within a single paradigm. 2.2. Design Specification It is important to ...
... objects (frames, schemata) and rules (with forward and backward chaining) are preferred, even though performance and maintainability objectives may be better met within a single paradigm. 2.2. Design Specification It is important to ...
Page 50
... (objects, relations, rules, messages, and functions) that co-adapt as the designer's attention turns from one issue to another. Prototyping provides a means of managing this development process by providing a "live" mechanism that will ...
... (objects, relations, rules, messages, and functions) that co-adapt as the designer's attention turns from one issue to another. Prototyping provides a means of managing this development process by providing a "live" mechanism that will ...
Page 52
... object-oriented *A full description of Knowledge Craft goes beyond the scope of this paper. Further description is available from Carnegie Group Inc., 5 PPG Place, Pittsburgh, Pa. 15222 and [6]. knowledge bases or domain models. Objects ...
... object-oriented *A full description of Knowledge Craft goes beyond the scope of this paper. Further description is available from Carnegie Group Inc., 5 PPG Place, Pittsburgh, Pa. 15222 and [6]. knowledge bases or domain models. Objects ...
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