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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A paper by Davis and King ( 1977 ) thoroughly discusses production systems in
Al . Our notion of a production system involves no restrictions on the form of the
global database , the rules , or the control strategy . We introduce the idea of ...
procedure would involve a goal test during step 8 of GRAPHSEARCH . ... the
backtracking implementation is preferred to the depth - first version of
GRAPHSEARCH because backtracking is simpler to implement and involves
less storage .
These three methods of using parallelism do not alter the basic production -
system paradigm for Al systems presented in this book ; they merely involve
implementing this paradigm with parallel processing . A third use of parallelism
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PRODUCTION SYSTEMS AND AI
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