Knowledge Based Systems: Advanced Concepts, Techniques & Applications

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World Scientific, 1997 - Computers - 618 pages
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The field of knowledge-based systems (KBS) has expanded enormously during the last years, and many important techniques and tools are currently available. Applications of KBS range from medicine to engineering and aerospace.This book provides a selected set of state-of-the-art contributions that present advanced techniques, tools and applications. These contributions have been prepared by a group of eminent researchers and professionals in the field.The theoretical topics covered include: knowledge acquisition, machine learning, genetic algorithms, knowledge management and processing under uncertainty, conflict detection and resolution, structured knowledge architectures, and natural language-based man-machine communication.The Applications include: Real-time decision support, system fault diagnosis, quality assessment, manufacturing production, robotic assembly, and robotic welding.The reader can save considerable time in searching the scattered literature in the field, and can find here a powerful set of how-to-do issues and results.
 

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Contents

Chapter I
3
Review of Psychological Knowledge
10
Know ledge Acquisition Through Concept
17
Knowledge Acquisition
25
Knowledge Acquisition as Modelling
31
Review of Automated Knowledge Acquisition Tools
43
Conclusions
49
A Survey
61
GeneticsBased Learning and Statistical Generalization
319
Generalization Across Multiple Subdomains
334
Experimental Results
340
Chapter 12
351
Design
363
Conclusions
371
Basic Assumptions
377
Integration of CBR with Model Based Reasoning
384

Machine Learning and Related Fields
75
Conclusions
83
Version Space Learning Family
96
The Explanation Based Learning Family
102
Genetic Algorithm Based Inductive Learning Family
110
Conclusions
118
Chapter 4
125
Knowledge Management Within
132
Conclusions
154
Representation Schemes
161
Nonmonotonic Reasoning
165
Uncertainty in Procedural Knowledge
186
Symbolic Approaches
192
Revision as Numerical Treatment of Uncertainty
199
Revision in a MultiAgent Environment
208
Chapter 7
217
The KSM Methodology with Examples
226
KSM Operation
237
Chapter 8
247
Speculative Computation of Production Systems
254
Experimental Results and Discussion
261
Chapter 9
269
Examples
283
Comparison
289
Brief Review of Results of Previous Analysis
295
Extended Graph Tuple
302
Summary and Conclusions
316
Discussion
392
Chapter 14
399
Algorithms
406
An Illustrative Example
414
Background
421
CaseBased Reasoning CBR
427
Conclusions
437
Chapter 17
439
Chapter 16
443
Application of the Expert System
450
Discussion of Results
457
Knowledge Based Systems
465
The Arc Welding Domain in Knowledge Engineering
472
Conclusions
492
The General Reasoning Method for Decision Support
499
Summary of a Decision Support Knowledge Environment
514
Conclusions
522
Basic Concepts for a Distributed Network of Controllers
529
Chapter 20
539
Manufacturing Environment for Testing
551
Architectural and Functional Issues of a Decision Support
559
Requirements from a System to Support Concurrent Design
566
Conclusions
584
Conclusions and Application Issues
600
Index
615
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About the author (1997)

Tzafestas is Professor of Control and Automation at the National Technical University, Athens, Greece.

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