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 ...
8 we have three rules , R1 , R2 , and R3 , that are applicable to the database
denoted by SO . After applying any one of these rules , all three rules are still
applicable to the resulting databases ; after applying any pair in sequence , the
Nodes labeled by these component databases have successor nodes labeled by
the results of rule applications . These successor nodes are called OR nodes
because in order to process a component database to termination , the database
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