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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... rule. In Figure 1.2 we show the sequence of states traversed by such a production system in solving this puzzle. The ... applications along the path did not increase the value of our function. If none of the applicable rules permits an ...
... rule applied to the initial state description lowers the value of our hill-climbing function. In this case the ... applications) is risked by applying rules irrevocably. We shall see some examples of this possibility later. 1.1.4.2.
... rule is selected, and if it doesn't lead to a solution, the intervening ... applications and backups to illustrate how backtracking might be applied to ... rule selection is not arbitrary but is instead guided by information about what ...
... rules are derived from the rewrite rules of the grammar. The right-hand side of a grammar rule can replace any ... applications, there is very little branching in the tree. 1.1.7. BACKWARD AND BIDIRECTIONAL PRODUCTION SYSTEMS We might ...
... rule ordering. In Figure 1.8 we have three rules, R1, R2, and R3, that are ... applications in Figure 1.8 possess this commutative property. In producing ... rule is applied to a database, additional rules might become applicable. Only ...
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 |