Knowledge Based Systems: Advanced Concepts, Techniques & Applications

S. G. Tzafestas

World Scientific, 1997 - Computers - 618 pages

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.

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
• 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
• 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
• 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

Bibliographic information

• Title: Knowledge Based Systems: Advanced Concepts, Techniques & Applications
• Author: S. G. Tzafestas
• Publisher: World Scientific, 1997
• ISBN: 9810228309, 9789810228309
• Length: 618 pages
• Subjects: Computers / Computer Science; Computers / Expert Systems; Computers / Intelligence (AI) & Semantics; Technology & Engineering / Engineering (General)