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 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 .
corresponding to the global database , the rules , and the control subdivisions of
production systems . The knowledge about a problem that is represented in the
global database is sometimes called declarative knowledge . In an intelligent ...
Each possible robot action is modeled by a production rule ( an F - rule in forward
systems ) . ... goal can be computed by a forward production system that applies
these F - rules to state descriptions until a terminal state description is produced ...
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PRODUCTION SYSTEMS AND AI
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