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
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Page 4
... structure and characteristics capture and take into account the peculiarities of expert system technology. We also claim that the design of a methodology should be based on the concept of life cycle, which, from this perspective, can be ...
... structure and characteristics capture and take into account the peculiarities of expert system technology. We also claim that the design of a methodology should be based on the concept of life cycle, which, from this perspective, can be ...
Page 12
... structure. It comprises five phases, each one characterized by precise goals to be achieved and clear relationships with the other phases. Each phase is subdivided into a number of specific tasks, each one devoted to achieve a precise ...
... structure. It comprises five phases, each one characterized by precise goals to be achieved and clear relationships with the other phases. Each phase is subdivided into a number of specific tasks, each one devoted to achieve a precise ...
Page 21
... structure and compile project plans (both global and at phase level), how to monitor their execution, and how and when to revise them taking into account deviations and possible modifications of the goals; - quality assurance methods ...
... structure and compile project plans (both global and at phase level), how to monitor their execution, and how and when to revise them taking into account deviations and possible modifications of the goals; - quality assurance methods ...
Page 50
... structures [7]. The non-sequential programming styles [Lisp, Ops, Prolog] that are associated with knowledge-based programming differ in all these respects. Control is very dynamic and is either event-driven or searchoriented. Rather ...
... structures [7]. The non-sequential programming styles [Lisp, Ops, Prolog] that are associated with knowledge-based programming differ in all these respects. Control is very dynamic and is either event-driven or searchoriented. Rather ...
Page 56
... structure of many knowledge bases, the expansion of a knowledge base requires special-purpose tools for displaying and browsing the knowledge base. Knowledge Craft provides an Interactive Schema Editor. This editor can be customized to ...
... structure of many knowledge bases, the expansion of a knowledge base requires special-purpose tools for displaying and browsing the knowledge base. Knowledge Craft provides an Interactive Schema Editor. This editor can be customized to ...
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