Principles of Artificial Intelligence
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.
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... Problem-Solving Methods in Artificial Intelligence” by Nils J. Nilsson, copyright © 1971 McGraw-Hill Book Company. Used with permission of McGraw-Hill Book Company. Figures 14, 1.5, 16, 1.13, 26, 27, 28, 2.9, 2.12, 2.13, 3.8, 3.9, 3.10 ...
... Problem Solving 275 A Forward Production System 281 A Representation for Plans 282 A Backward Production System 287 STRIPS 298 Using Deduction Systems to Generate Robot Plans 307 7.7. Bibliographical and Historical Remarks 315 Exercises ...
... Problemsolving Methods in Artificial Intelligence, are covered here as well, this book contains many additional topics such as rule-based systems, robot problem-solving systems, and structured-object representations. One of the goals of ...
... problem of controlling the physical actions of a mobile robot might not seem to require much intelligence. Even ... solving more intellectually demanding problems. Research on robots or robotics has helped to develop many AI ideas. It ...
... solving strategy. It has been found that it is often much more efficient to produce an inexpensive, errorful solution to a programming or robot control problem and then ... problems (including the traveling salesman problem) are 6 PROLOGUE.
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS
CHAPTER 4 THE PREDICATE CALCULUS IN AI
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS
CHAPTER 7 BASIC PLANGENERATING SYSTEMS
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS