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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... Chapter 7 introduces some of the more basic ideas, and chapter 8 elaborates on the subjects of complex goal interactions and hierarchical planning. Chapter 9 discusses some representational formalisms in which the structure of the ...
... chapter 8); for the Stanford University work by McCarthy et al. (1969); and for the Edinburgh work by Ambler, et al. (1975). Practical applications of robotics in industrial automation are becoming commonplace. A paper by Abraham (1977) ...
... the book by Weissman (1967). Friedman (1974) is an entertaining programmed instruction manual. For a more technical treatment, see the book by Allen (1978). CHAPTER 1 PRODUCTION SYSTEMS AND AI Most AI systems display 16 PROLOGUE.
... of the effects of several sequences of rules. We will be discussing these structures in much more detail in chapters 2 and 3, giving only a short example here of their use. 8 2 l (6) 8 2 1 (7) 8 2 25 PRODUCTION SYSTEMS.
... chapter 2. Even though we use graphs of this sort only with graph-search control regimes, it is useful to notice that an irrevocable control regime corresponds to following just a single path down through the search tree. (We have ...
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 |