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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Nils J. Nilsson. CHAPTER 1 PRODUCTION SYSTEMS AND AI Most Al systems
display a more or less rigid separation between the standard computational
components of data , operations , and control . That is , if these systems are
Commutative production systems are an important subclass enjoying special
properties . For example , an irrevocable control regime can always be used in a
commutative system because the application of a rule never needs to be taken
corresponding to the global database , the rules , and the control subdivisions of
production systems . ... In an intelligent information retrieval system , for example ,
the declarative knowledge would include the main database of specific facts .
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PRODUCTION SYSTEMS AND AI
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