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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They should not be confused with the STRIPS rules that correspond to the
models of robot actions . These top - level rules change the global database ,
consisting of both state description and goal stack . STRIPS rules are named in
the goal ...
CONTROL STRATEGIES FOR STRIPS Several decisions must be made by the
control component of the STRIPS system . We ' ll mention some of these briefly .
First , it must decide how to order the components of a compound goal above the
Recursive STRIPS can be regarded as a special case of GPS , where differences
between S and G are those components of G unmatched by S and where all F -
rules whose add list contains a literal L are considered relevant to reducing the ...
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PRODUCTION SYSTEMS AND AI
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