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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... CHAPTER 1: : CHAPTER 2: CHAPTER 3: Some Applications of Artificial Intelligence 2 Overview 9 Bibliographical and Historical Remarks 10 PRODUCTION SYSTEMS AND AI 17 Production Systems 17 Specialized Production Systems 35 Comments on the ...
... CHAPTER 5: RESOLUTION REFUTATION SYSTEMS 161 5.1. Production Systems for Resolution Refutations 163 5.2. Control Strategies for Resolution Methods 164 5.3 ... CHAPTER 8: ADVANCED PLAN-GENERATING SYSTEMS 321 | | CHAPTER 9: viii.
Nils J. Nilsson. CHAPTER 8: ADVANCED PLAN-GENERATING SYSTEMS 321 | | CHAPTER 9: : ! : PROSPECTUS : RSTRIPS 321 DCOMP 333 Amending Plans 342 Hierarchical Planning 349 Bibliographical and Historical Remarks 357 Exercises 358 STRUCTURED ...
... chapter 6 and chapter 8) is omitted. The exercises at the end of each chapter are designed to be thoughtprovoking. Some expand on subjects briefly mentioned in the text. Instructors may find it useful to use selected exercises as a ...
... chapters 2 and 3 is on the search strategies that are useful in the control of AI systems. Chapter 2 concerns itself with heuristic methods for searching the graphs that are implicitly defined by many AI systems. Chapter 3 generalizes ...
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 |