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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... actions of a mobile robot might not seem to require much intelligence. Even small children are able to navigate ... action sequences and how to monitor the execution of these plans. Complex robot control problems have forced us to ...
... actions that achieve prescribed goals. These methods are illustrated by considering simple problems in robot planning and automatic programming. Chapter 7 introduces some of the more basic ideas, and chapter 8 elaborates on the subjects ...
... actions of a robot and automatic programming are two examples. A simple and perhaps familiar problem of this sort, useful for illustrating basic ideas, is the 8-puzzle. The 8-puzzle consists of eight numbered, movable tiles set in a 3 X ...
... action of the control strategy of the first production system. Clearly, any rules of the second system that are applicable at any stage remain applicable thereafter. The second system explicitly embodies in. Fig. 1.8 Equivalent paths in ...
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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 |