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 33
Page 4
... complete methodology for expert system development, and presents some guidelines for this purpose. Finally, section 6 proposes some conclusive remarks and discusses insights and forecasts about the future of methodologies and tools for ...
... complete methodology for expert system development, and presents some guidelines for this purpose. Finally, section 6 proposes some conclusive remarks and discusses insights and forecasts about the future of methodologies and tools for ...
Page 5
... complete system, evaluation of system, and integration of system, maintenance) which cover rather completely all the aspects of the development. Each phase includes a specific set of activities to be executed, which are shortly outlined ...
... complete system, evaluation of system, and integration of system, maintenance) which cover rather completely all the aspects of the development. Each phase includes a specific set of activities to be executed, which are shortly outlined ...
Page 6
... complete expert system life cycle to be followed in all ESA internal applications (ESA, 1986). For each phase, precise gaols, outputs, tasks, and operational activities are specified. Particular attention is given to project management ...
... complete expert system life cycle to be followed in all ESA internal applications (ESA, 1986). For each phase, precise gaols, outputs, tasks, and operational activities are specified. Particular attention is given to project management ...
Page 7
... complete life cycle model and decomposes each phase into tasks and specific operative activities. Moreover, it is supported by automatic, general-purpose tools, devoted to specific aspects of expert system development, such as knowledge ...
... complete life cycle model and decomposes each phase into tasks and specific operative activities. Moreover, it is supported by automatic, general-purpose tools, devoted to specific aspects of expert system development, such as knowledge ...
Page 9
... complete, i.e., it should support the designer in all aspects and phases of expert system development process, from early problem analysis to maintenance, and it should offer both technical support, and project management features. - It ...
... complete, i.e., it should support the designer in all aspects and phases of expert system development process, from early problem analysis to maintenance, and it should offer both technical support, and project management features. - It ...
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