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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These include symbol strings, vectors, sets, arrays, trees, and lists. Sometimes, as in the 8-puzzle, the form of the data structure bears a close resemblance to some physical property of the problem being solved.
Another problem we might want to solve using a production system approach is whether an arbitrary sequence of symbols is a sentence in a language; that is, could it have been generated by a grammar. Deciding whether a symbol string is a ...
Suppose we wanted to determine whether or not the following string of symbols is a sentence in the language: The president of the new company approves the sale To set up this problem, we specify the following: The global database shall ...
Initial The president of the new company approves the sale 1 This sequence of rules replaces terminal symbols by non-terminal symbols. DET N P DET A N V DET N | i DNP P DNP VP Another sequence produces the following string: DNP P S DNP ...
In Figure 1.10, any node corresponding to a component database satisfying the termination condition (in this case consisting of the symbol M) is enclosed in a double box. Such nodes are called terminal nodes. (We could also have drawn ...
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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