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 75
Page 5
... interface design, testing and evaluation, system integration, maintenance, cost/benefit analysis, resource planning, and technology transfer. Waterman's (1986) work is inspired, especially for its focus on knowledge acquisition tasks ...
... interface design, testing and evaluation, system integration, maintenance, cost/benefit analysis, resource planning, and technology transfer. Waterman's (1986) work is inspired, especially for its focus on knowledge acquisition tasks ...
Page 15
... interfaces, so as to ensure graceful interaction and full support in the use of the system. At the end of the development process, one or more formal demonstrations take place so as to allow an extensive evaluation of the obtained ...
... interfaces, so as to ensure graceful interaction and full support in the use of the system. At the end of the development process, one or more formal demonstrations take place so as to allow an extensive evaluation of the obtained ...
Page 16
... interfaces, external interfaces towards the outside world, a justification system, etc. according to the functional specifications. Once the empty system is fully developed and tested, the development of the prototype proceeds through ...
... interfaces, external interfaces towards the outside world, a justification system, etc. according to the functional specifications. Once the empty system is fully developed and tested, the development of the prototype proceeds through ...
Page 40
... interfaces and data communications of the system will not require extensive effort. As with a performance requirement, a large requirement for work on an elaborate user interface or on extensive complex data communications could divert ...
... interfaces and data communications of the system will not require extensive effort. As with a performance requirement, a large requirement for work on an elaborate user interface or on extensive complex data communications could divert ...
Page 48
... interface. The problem solver, or inference engine, typically provides an approach to interpreting or using the contents of a knowledge base. Applications differ widely in the degree to which the problem solver contains domain specific ...
... interface. The problem solver, or inference engine, typically provides an approach to interpreting or using the contents of a knowledge base. Applications differ widely in the degree to which the problem solver contains domain specific ...
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 |
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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