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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Nils J. Nilsson. 4.2 . 4.3 . 4.4 . CHAPTER 5 : 5.1 . 5.2 . 5.3 . 5.4 . 5.5 . CHAPTER 6 : CHAPTER 4 : THE PREDICATE CALCULUS IN AI 131 4.1 . Informal Introduction to the Predicate Calculus 131 Resolution 145 The Use of the Predicate ...
... chapters 2 and 3 is on the search strategies that are useful in the control of AI systems . Chapter 2 concerns itself with heuristic methods for searching the graphs that are implicitly defined by many AI systems . Chapter 3 generalizes ...
... chapter , we describe some of the specialized representations that address some of these concerns . We also confront certain representational questions that might also have been faced earlier , say in chapter 6 , but seem more ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
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