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 78
Page vi
... goal of the editorial work has been to collect contributions on the different aspects of expert system design and construction, paying particular attention to the most distinguishing techniques, especially with respect to traditional ...
... goal of the editorial work has been to collect contributions on the different aspects of expert system design and construction, paying particular attention to the most distinguishing techniques, especially with respect to traditional ...
Page 10
... goal of proposing a life cycle for expert systems coping with the above listed needs and requirements is to explore ... goals such as project planning and monitoring, quality assurance, production standards, etc., they are 10 G. Guida ...
... goal of proposing a life cycle for expert systems coping with the above listed needs and requirements is to explore ... goals such as project planning and monitoring, quality assurance, production standards, etc., they are 10 G. Guida ...
Page 11
... cycle explicitly oriented to expert system technology, in order to achieve the same desirable goals that proved so useful in the domain of conventional software. 4. A life cycle for expert systems This section is Building expert systems 11.
... cycle explicitly oriented to expert system technology, in order to achieve the same desirable goals that proved so useful in the domain of conventional software. 4. A life cycle for expert systems This section is Building expert systems 11.
Page 12
... goals, and inputs and outputs, and activities involved. - Definition of the logical relationships between components (precedences, preconditions, constraints, options, etc.). - Definition of the temporal relationships between components ...
... goals, and inputs and outputs, and activities involved. - Definition of the logical relationships between components (precedences, preconditions, constraints, options, etc.). - Definition of the temporal relationships between components ...
Page 13
... goals: - analyzing a given application area, identifying a promising domain, and selecting the specific problem to face; - identifying the main functional and technical specifications of the expert system and assessing the plausibility ...
... goals: - analyzing a given application area, identifying a promising domain, and selecting the specific problem to face; - identifying the main functional and technical specifications of the expert system and assessing the plausibility ...
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