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 Intelligence"evolved 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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( We have already seen that such a simple strategy can sometimes be usefully
employed . ) A backtracking regime does not maintain the entire search tree
structure ; it merely keeps track of the path that it is working on currently ,
modifying it ...
Deciding whether a symbol string is a sentence is called the parsing problem ,
and production systems can be used to do parsing Suppose we are given a
simple context - free grammar that defines a language . As an example , let the ...
We can compose a simple atomic formula using WRITE and two terms , denoting
the writer and what is written . For example , to represent the sentence “ Voltaire
wrote Candide , ” we might use the simple atomic formula : WRITE ( VOLTAIRE ...
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PRODUCTION SYSTEMS AND AI
SEARCH STRATEGIES FOR
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