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 70
Page vii
... integrated approach to the construction of knowledge-based systems: Experience with ADVISE and related programs Arthur B. Baskin and Ryszard S. Michalski Knowledge base design and construction: From prototyping to refinement Casimir A ...
... integrated approach to the construction of knowledge-based systems: Experience with ADVISE and related programs Arthur B. Baskin and Ryszard S. Michalski Knowledge base design and construction: From prototyping to refinement Casimir A ...
Page 5
... 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 in the proposal. The authors do not ...
... 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 in the proposal. The authors do not ...
Page 6
... integrated with the methodology, are capable of supporting designer and knowledge engineer during the execution of the above mentioned activities. The proposal features two evident limitations: it is difficult to use (being based on the ...
... integrated with the methodology, are capable of supporting designer and knowledge engineer during the execution of the above mentioned activities. The proposal features two evident limitations: it is difficult to use (being based on the ...
Page 9
... integrated set of methods (procedures) for carrying out a practical task, and of the rules needed for correctly and effectively applying them. An industrial methodology for expert system development should be designed to satisfy two ...
... integrated set of methods (procedures) for carrying out a practical task, and of the rules needed for correctly and effectively applying them. An industrial methodology for expert system development should be designed to satisfy two ...
Page 10
... integration of existing techniques and tools aimed at specific aspects or phases of the expert system development process (e.g., knowledge acquisition tools, project management tools, knowledge base verification and refinement ...
... integration of existing techniques and tools aimed at specific aspects or phases of the expert system development process (e.g., knowledge acquisition tools, project management tools, knowledge base verification and refinement ...
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