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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That is , if these systems are described at an appropriate level , one can often
identify a central entity that might be called a global database that is manipulated
by certain well - defined operations , all under the control of some global control ...
The production rules operate on the global database . Each rule has a
precondition that is either satisfied or not by the global database . If the
precondition is satisfied , the rule can be applied . Application of the rule changes
the database .
These rules are to be applied to a global database consisting of a set of symbols .
A rule is applicable if the global database contains a symbol matching its left -
hand side . The effect on the global database of applying the rule is to remove the
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PRODUCTION SYSTEMS AND AI
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