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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... components of a production system is often called the representation problem in AI. Usually there are several ways to so represent a problem. Selecting a good representation is one of the important arts involved in applying AI ...
... components C, B, and Z. Production rules can be applied to each of these components independently (possibly in parallel); the results of these applications can also be split, and so on, until each component database contains only Ms. AI ...
... components and work on each part separately and independently. Each rule application affects only that component of the global database used to establish the precondition of the rule. Since some of the rules are being applied ...
... component databases in parallel is possible, we are typically interested in control strategies that process them in some serial order. There are two major ways to order the components: (a) the components can either be arranged in some ...
... component is processed to completion before processing begins on the next. Of course, when a production rule is applied to a component, a database may result that can itself be split. The components of this database are processed in ...
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 |