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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... production system. 1.1.6. SOME EXAMPLE PROBLEM REPRESENTATIONS A wide variety of problems can be set up for solution by our production system approach. The formulations that we use in the following examples do not necessarily represent ...
... production rules are derived from the rewrite rules of the grammar. The right-hand side of a grammar rule can replace any occurrence of the left-hand side in a ... production system. We could also have solved the 32 PRODUCTION SYSTEMS AND AI.
Nils J. Nilsson. a forward production system. We could also have solved the problem in a backward direction, by starting at the goal state, applying inverse moves, and working toward the initial ... production system. 33 PRODUCTION SYSTEMS.
Nils J. Nilsson. Although there is no formal difference between a production system that works on a problem in a ... SYSTEMS 1.2.1. COMMUTATIVE PRODUCTION SYSTEMS Under certain 34 PRODUCTION SYSTEMS AND AI.
... system improves its efficiency by avoiding needless exploration of redundant solution paths that are all equivalent except ... systems are an important subclass enjoying 35 SPECIALIZED PRODUCTION SYSTEMS 1.2. Specialized Production Systems.
Contents
1 | |
17 | |
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 |