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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The figures listed below are from “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, ...
Bibliographical and Historical Remarks 267 Exercises 270 CHAPTER 7: BASIC PLAN-GENERATING SYSTEMS 275 Robot Problem Solving 275 A Forward Production System 281 A Representation for Plans 282 A Backward Production System 287 STRIPS 298 ...
Although certain topics treated in my previous book, Problemsolving Methods in Artificial Intelligence, ... many additional topics such as rule-based systems, robot problem-solving systems, and structured-object representations.
problem down into subproblems to work on independently. Several automatic theorem proving programs have been ... We have frequent occasion in this book to use examples of robot problem solving to illustrate important ideas. 0.1.6.
One of the important contributions of research in automatic programming has been the notion of debugging as a problem-solving strategy. It has been found that it is often much more efficient to produce an inexpensive, errorful solution ...
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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