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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In Figure 5 . 3 we show a refutation graph produced by the set - of - support
strategy for our example problem . Notice that , in this case , set of support does
not permit finding the empty clause at the third level . A third - level refutation for
The refutation tree of Figure 5 . 1 is one that might have been produced by a unit -
preference strategy . 5 . 2 . 4 . THE LINEAR - INPUT FORM STRATEGY A linear -
input form refutation is one in which each resolvent has at least one parent ...
The match is successful in Figure 9 . 10 , but it is unsuccessful in Figure 9 . 11 . In
any representational scheme there are often several alternative representations
for basically the same information . Since our definition of structure matching ...
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