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 AND / OR graph shown in Figure 6 . 6 has two solution graphs that terminate
in leaf nodes and that include the newly added match arc . The clauses
corresponding to these solution graphs are : S ( A ) V X ( B ) VQ ( A , A ) and S ( A
) V X ...
In Figure 8 . 3 , we show a possible DCOMP first - phase solution with the adders
and deleters listed for each condition . Note that ... These additional constraints
give us the partially ordered plan shown in Figure 8 . 4 . It is convenient to be ...
... special explanation so we consider this general subject next . We begin our
discussion by considering another example . Suppose we are trying to achieve
the goal ( CLEAR ( A ) ^ HANDEMPTY ) from the initial state shown in Figure 7 .
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