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 SET - OF - SUPPORT STRATEGY A set - of - support refutation is one in
which at least one parent of each resolvent is selected from among the clauses
resulting from the negation of the goal wff or from their descendants ( the set of ...
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 ...
A resolution - refutation tree is found by some search process . The unification
subsets of the clauses in this tree are marked . 2 . New variables are substituted
for any Skolem functions occurring in the clauses that result from the negation of
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PRODUCTION SYSTEMS AND AI
SEARCH STRATEGIES FOR
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