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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We could create a new successor node for each possible ordering ( as we did in
our examples ) or we could select just one of them arbitrarily ( perhaps that goal
literal heuristically judged to be the hardest ) and create a successor node in ...
Another predicate , PACT , is used to say that it is possible to perform a given
action in a given state , that is , the preconditions of the action match that state
description . PACT ( a , s ) states that it is possible to perform action a in state s .
Next we state that if a given state is possible and if the preconditions of an action
are satisfied in that state , then the state produced by performing that action is
also possible : 13 [ POSS ( s ) A PACT ( u , s ) ] POSS [ do ( u , s ) ] The major ...
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