Principles of Artificial IntelligenceA 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. |
From inside the book
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... 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, 3.11 ...
... 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 317 ...
... solving systems, and structured-object representations. One of the goals of this book is to fill a gap between theory and practice. AI theoreticians have little difficulty in communicating with each other; this book is not intended to ...
... solve differential equations in symbolic form, analyze electronic circuits, understand limited amounts of human speech and natural language text, or write small computer programs to meet formal specifications. We might say that such ...
... solving more intellectually demanding problems. Research on robots or robotics has helped to develop many AI ideas. It has led to several techniques for modeling states of the world and for describing the process of change from one ...
Contents
1 | |
17 | |
CHAPTER 2 SEARCH STRATEGIES FOR AI PRODUCTION SYSTEMS | 53 |
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS | 99 |
CHAPTER 4 THE PREDICATE CALCULUS IN AI | 131 |
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS | 161 |
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS | 193 |
CHAPTER 7 BASIC PLANGENERATING SYSTEMS | 275 |
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS | 321 |
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS | 361 |
PROSPECTUS | 417 |
BIBLIOGRAPHY | 429 |
AUTHOR INDEX | 467 |
SUBJECT INDEX | 471 |