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 53
... instance, might have an attribute of criticality with value high and a relation of has-alarm to an object which represents an alarm at a monitoring station. As is typical with such languages, inheritance down a classification hierarchy ...
... instance, might have an attribute of criticality with value high and a relation of has-alarm to an object which represents an alarm at a monitoring station. As is typical with such languages, inheritance down a classification hierarchy ...
Page 54
... instances), relations, rules, and auxiliary lisp functions may be defined freely and incrementally. This leads to an ... instance, the data-driven characteristic of OPS might be exploited to generate hypotheses on the basis of observed ...
... instances), relations, rules, and auxiliary lisp functions may be defined freely and incrementally. This leads to an ... instance, the data-driven characteristic of OPS might be exploited to generate hypotheses on the basis of observed ...
Page 55
... types can be arbitrarily defined, CRL permits rapid expansion by enabling architectures in which growth can be entirely supported through the specification of instances of known types. CRL provides Prototyping: Tools and motivations 55.
... types can be arbitrarily defined, CRL permits rapid expansion by enabling architectures in which growth can be entirely supported through the specification of instances of known types. CRL provides Prototyping: Tools and motivations 55.
Page 56
... instances. Because of the complex structure of many knowledge bases, the expansion of a knowledge base requires special ... instance, identifying files and creating load functions, specifying skeletal control mechanisms, and defining ...
... instances. Because of the complex structure of many knowledge bases, the expansion of a knowledge base requires special ... instance, identifying files and creating load functions, specifying skeletal control mechanisms, and defining ...
Page 57
... here. The Problem-Solver represents the application's problem solver. Necessary methods for execution, {{ SYSTEM INSTANCE: ENTITY NAME: "RPM PROTOTYPING SEELL," WoRKING-DIRECTORY: "[BAUER. Prototyping: Tools and motivations 57.
... here. The Problem-Solver represents the application's problem solver. Necessary methods for execution, {{ SYSTEM INSTANCE: ENTITY NAME: "RPM PROTOTYPING SEELL," WoRKING-DIRECTORY: "[BAUER. Prototyping: Tools and motivations 57.
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