Principles of Artificial Intelligence

✍ Scribed by Nils J. Nilsson (Auth.)

• Publisher: Elsevier Inc, Morgan Kaufmann
• Year: 1982
• Tongue: English
• Leaves: 474
• Edition: Reprint
• Category: Library

✦ Synopsis

A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used.

Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study

✦ Table of Contents

Content:
Front Matter, Page ii
Copyright, Page iv
Dedication, Page v
PREFACE, Pages xi-xii
ACKNOWLEDGEMENTS, Page xiii
CREDITS, Page xv
PROLOGUE, Pages 1-16
CHAPTER 1 - PRODUCTION SYSTEMS AND AI, Pages 17-52
CHAPTER 2 - SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS, Pages 53-97
CHAPTER 3 - SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS, Pages 99-129
CHAPTER 4 - THE PREDICATE CALCULUS IN AI, Pages 131-159
CHAPTER 5 - RESOLUTION REFUTATION SYSTEMS, Pages 161-191
CHAPTER 6 - RULE-BASED DEDUCTION SYSTEMS, Pages 193-273
CHAPTER 7 - BASIC PLAN-GENERATING SYSTEMS, Pages 275-319
CHAPTER 8 - ADVANCED PLAN-GENERATING SYSTEMS, Pages 321-360
CHAPTER 9 - STRUCTURED OBJECT REPRESENTATIONS, Pages 361-415
PROSPECTUS, Pages 417-427
BIBLIOGRAPHY, Pages 429-465
AUTHOR INDEX, Pages 467-470
SUBJECT INDEX, Pages 471-476