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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B - rule , the domain expert may want to specify the order in which the subgoals
should be attacked . For each of these subgoals , he may further want to specify
explicitly a set of B - rules to be used on them and the order in which these B ...
Our first step in designing a backward production system is to specify a set of B -
rules that transform goal expressions ... A B - rule that transforms a goal G into a
subgoal G ' is logically based on the corresponding F - rule that when applied to ...
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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