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. |
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Nils J. Nilsson. Suppose we decide to use a graph-search control regime in solving the 8-puzzle problem posed in Figure 1.1. We can keep track of the various rules applied and the databases produced by a structure called a search tree ...
... control regime can always be used in a commutative system because the application of a rule never needs to be taken back or undone. Any rule that was applicable to an earlier database is still applicable to the current one. There is no ...
... control regime (irrevocable). This change in representation simply shifts the system description to a lower level ... control regime might explore many equivalent paths in producing a database containing only Ms. Two of these are shown ...
... control regime. We show an example AND/OR tree for our rewrite problem in Figure 1.10. Just as with ordinary graphs, an AND/OR graph consists of nodes labeled by global databases. Nodes labeled by compound databases have sets of ...
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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 |