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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The second component of the F - rule is a list of literals ( possibly containing free
variables ) called the delete list . When an F - rule is applied to a state description
, the match substitution is applied to the literals in the delete list ; and the ...
Sometimes , as in the above example , the precondition formula and the delete
list contain identical literals . In our example , we have chosen to include only
HOLDING ( x ) in the add formula rather than , additionally , the negations of
literals in ...
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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