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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... control strategy that generates a search tree of global databases. Now consider another production system whose global database is the entire search tree of the first. The rules of the new production system represent the various ways in ...
... control strategy of the first system. Employing this conversion results in a more complex global database and rule set and in a simpler sort of control regime (irrevocable). This change in representation simply shifts the system ...
... strategy for SPLIT must select a component database, D*, in Step 5 and must select a rule, R, to apply in Step 7 ... control strategies that process them in some serial order. There are two major ways to order the components: (a) the ...
... strategy for making rule selections is used in conjunction with this fixed-order strategy for processing components. More flexible control strategies for decomposable production systems allow the component databases to be reordered ...
... control strategy is often called the control knowledge. Control knowledge includes knowledge about a variety of processes, strategies, and structures used to coordinate the entire problem-solving process. The central problem considered ...
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 |