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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Our point is that a system consisting of separate database , operations , and
control components represents an ... a clean separation of these computational
components and thus seem to capture the essence of operation of many Al
13 end 14 end Algorithm AO * can best be understood as a repetition of the
following two major operations . First , a top - down , graph - growing operation (
steps 4 - 6 ) finds the best partial solution graph by tracing down through the
Combined forward and backward operation is also possible . The details about
rule operation and termination are explained in the next few pages . This sort of
theorem - proving system is a direct system rather than a refutation system .
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