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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One of the subgoals produced by R4 is recognized as similar to the main goal .
Producing a subgoal having this sort of similarity suggests , to the control strategy
, the appropriateness of applying the induction rule , RI , to the main goal .
Our first step in designing a backward production system is to specify a set of B -
rules that transform goal expressions into subgoal expressions . One strategy is
to use B - rules that are based on the F - rules that we have just discussed .
The subgoal description is constructed as follows : ( 1 ) Regress the ( unmatched
) expression ON ( B , C ) through stack ( A ... ( A ) A CLEAR ( B ) J . Another
example illustrates how subgoals having existentially quantified variables are
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