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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Since the last F - rule to be applied , stack ( A , B ) , was also the rule that
achieved ON ( A , B ) , RSTRIPS regresses ON ... In this case , the subgoal was
not changed by regression , and RSTRIPS now attempts to achieve this
regressed goal at ...
( CONT ( X , A ) ^ CONT ( Y , B ) A CONT ( 2 , 0 ) ] , we want to achieve the goal (
CONT ( Y , A ) A CONT ( X , B ) ] . The first phase produces the solution shown in
Figure 8 . 11 . The adders and deleters are indicated as usual . This first - phase ...
Once a plan has been developed to achieve the high - level conditions ( and their
high - level preconditions , and so on ) , other steps can be added in place to the
plan to achieve lesser conditions , and so on . This method does not require ...
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