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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... example, an irrevocable 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 ...
... rule applications in the right-hand branch of the tree in Figure 1.9 are ones needed in a solution.) One way to avoid the exploration of these redundant paths is to recognize that the initial database can be decomposed or split into ...
... rule applications. These successor nodes are called OR nodes because in order to process a component database to termination, the database resulting from just one of the rule applications must be processed to termination. In Figure 1.10 ...
... examples of these sorts of systems [see also Hayes-Roth and Waterman (1977)] ... rules, or the control strategy. We introduce the idea of tentative control ... rule application order can be unimportant in commutative and decomposable ...
... rule to apply in step 4. For decomposable production systems (page 39), the control problem is to select a component database in step 5 and an applicable rule to apply in step 7. Other subsidiary but important tasks of the control ...
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 |