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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It is a table whose columns are headed by the F - rules in the plan . Let the
leftmost column be called the zero - th column ; then the j - th column is headed
by the j - th F - rule in the sequence . Let the top row be called the first row . If
there are ...
One strategy is to use B - rules that are based on the F - rules that we have just
discussed . A B - rule that transforms a goal G into a subgoal G ' is logically based
on the corresponding F - rule that when applied to a state description matching G
is the set of F - rules specified in the graph that delete Cij and that are not
ancestors of rule j in the graph nor rule j itself . This set is called the deleters of Cij
. Any deleter of Cuj might ( as an F - rule ) destroy this precondition for F - rule j ;
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PRODUCTION SYSTEMS AND AI
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