Principles of Artificial Intelligence
A 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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... inevitable errors, and to add new results and points of view. Toward that end, I solicit correspondence from readers. Nils J. Nilsson ACKNOWLEDGEMENTS Several organizations supported and encouraged the research, teaching, and xii.
... result is closely related to the task of proving that a given program achieves a stated result. The latter is called program verification. Many automatic programming systems produce a verification of the output program as an added ...
... results of this research are described in papers by Medress et al. (1977), and Klatt (1977); reports by Reddy et al. (1977), Woods, et al (1976), and Bernstein (1976); and a book edited by Walker (1978). A forthcoming book by Winograd ...
... results with resolution-based systems [McCharen et al. (1976); Winker and Wos (1978); Winker (1979)]. Boyer and Moore (1979) have developed a theorem-proving system that proves theorems about recursive functions and makes strong use of ...
... result of applying R to DATA 6 end 1.1.3. CONTROL The above procedure is nondeterministic because we have not yet specified precisely how we are going to select an applicable rule in statement 4. Selecting rules and keeping track of ...
CHAPTER 3 SEARCH STRATEGIES FOR DECOMPOSABLE PRODUCTION SYSTEMS
CHAPTER 4 THE PREDICATE CALCULUS IN AI
CHAPTER 5 RESOLUTION REFUTATION SYSTEMS
CHAPTER 6 RULEBASED DEDUCTION SYSTEMS
CHAPTER 7 BASIC PLANGENERATING SYSTEMS
CHAPTER 8 ADVANCED PLANGENERATING SYSTEMS
CHAPTER 9 STRUCTURED OBJECT REPRESENTATIONS