Knowledge Processing and Applied Artificial Intelligence

✍ Scribed by Soumitra Dutta (Auth.)

Publisher: Elsevier Ltd, Butterworth-Heinemann
Year: 1993
Tongue: English
Leaves: 346
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Providing an explanation of AI concepts and techniques, this practical book shows management students and managers in industry/commerce how they can solve business problems with AI technologies, and analyze the strategic impact of AI technology on organizations. Knowledge processing (AI) represents the next phase in the evolution of information technology in business

✦ Table of Contents

Content:
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
Preface, Pages xiii-xiv
Acknowledgements, Page xv
List of abbreviations, Page xvii
Introduction to Part I, Page 1
Chapter 1 - Knowledge processing and applied artificial intelligence, Pages 3-27
Introduction to Part II, Page 29
Chapter 2 - Knowledge-based systems and the acquisition of knowledge, Pages 31-55
Chapter 3 - Representing and reasoning with knowledge, Pages 57-91
Introduction to Part III, Page 93
Chapter 4 - Creating knowledge-based systems, Pages 95-127
Chapter 5 - Strategic and organizational issues in knowledge processing, Pages 129-162
Introduction to Part IV, Page 163
Chapter 6 - Natural language processing, Pages 165-196
Chapter 7 - Image and speech processing, Pages 197-231
Introduction to Part V, Page 233
Chapter 8 - Approximate reasoning using fuzzy logic, Pages 235-264
Chapter 9 - Connectionist modelling of intelligence, Pages 265-299
Appendix 1 - Commercial applications of knowledge-based systems, Pages 301-319
Appendix 2 - Commercial vendors of knowledge-based products, Pages 321-339
Appendix 3 - Commercial applications of neural networks, Pages 341-349
Index, Pages 350-352

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