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 54
Page 6
... outputs, tasks, and operational activities are specified. Particular attention is given to project management and documentation: resources (both manpower and software tools) to be used and documents to be produced in each phase are ...
... outputs, tasks, and operational activities are specified. Particular attention is given to project management and documentation: resources (both manpower and software tools) to be used and documents to be produced in each phase are ...
Page 12
... outputs, and activities involved. - Definition of the logical relationships between components (precedences, preconditions, constraints, options, etc.). - Definition of the temporal relationships between components (execution sequence ...
... outputs, and activities involved. - Definition of the logical relationships between components (precedences, preconditions, constraints, options, etc.). - Definition of the temporal relationships between components (execution sequence ...
Page 13
... output of this phase is a technical document, called plausibility report, which illustrates the activities done and the obtained results, suggests choices and decisions about the expert system project, supporting them with appropriate ...
... output of this phase is a technical document, called plausibility report, which illustrates the activities done and the obtained results, suggests choices and decisions about the expert system project, supporting them with appropriate ...
Page 14
... output of this phase is therefore a running expert system, called demonstration prototype (or demonstrator), which ... outputs of this phase also include a revised and extended version of the plausibility report produced in Phase 1. The ...
... output of this phase is therefore a running expert system, called demonstration prototype (or demonstrator), which ... outputs of this phase also include a revised and extended version of the plausibility report produced in Phase 1. The ...
Page 15
... output of the production process, since: - it is not yet installed in the real operational environment, but it is ... outputs of this phase also include a new version of the plausibility report produced in Phase 1, revised and extended ...
... output of the production process, since: - it is not yet installed in the real operational environment, but it is ... outputs of this phase also include a new version of the plausibility report produced in Phase 1, revised and extended ...
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