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 48
Page 7
... Strategic Programme for Research and Development in Information Technology (ESPRIT) of the Commission of the European Communities, a specific project is devoted to the topic of expert system development methodology: "A methodology for ...
... Strategic Programme for Research and Development in Information Technology (ESPRIT) of the Commission of the European Communities, a specific project is devoted to the topic of expert system development methodology: "A methodology for ...
Page 13
... strategic value, tactic importance, expected benefits, technical complexity, suitability and readiness for expert system application, involved risk, logical and temporal precedence, etc. The result of this explorative activity provides ...
... strategic value, tactic importance, expected benefits, technical complexity, suitability and readiness for expert system application, involved risk, logical and temporal precedence, etc. The result of this explorative activity provides ...
Page 31
... strategies. In addition, problems with very large numbers of possibilities or with incomplete or uncertain information are difficult to attack by conventional approaches, but may be amenable to expert system methodologies. If there will ...
... strategies. In addition, problems with very large numbers of possibilities or with incomplete or uncertain information are difficult to attack by conventional approaches, but may be amenable to expert system methodologies. If there will ...
Page 54
... strategies), and rapid incremental refinement. Knowledge Craft provides several kinds of modularity. First, the CRL-languages are based on modular concepts. In particular, rules enable the capture and refinement of small chunks of ...
... strategies), and rapid incremental refinement. Knowledge Craft provides several kinds of modularity. First, the CRL-languages are based on modular concepts. In particular, rules enable the capture and refinement of small chunks of ...
Page 70
... strategies – implementation of knowledge-representation formalisms — complex data objects to be manipulated — possibly the understanding of some limited form of natural language On the other hand, in prototyping the following features ...
... strategies – implementation of knowledge-representation formalisms — complex data objects to be manipulated — possibly the understanding of some limited form of natural language On the other hand, in prototyping the following features ...
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