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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First , it must decide how to order the components of a compound goal above the
compound goal in the goal stack . A reasonable approach is first to find all of
those components that match the current state description . ( Conceptually , they
some special conventions in the goal stack , however . Specifically , when it
orders the components above a compound goal in the stack , it groups these
components along with their compound goal within a vertical parenthesis in the
Since our main goal contains two conditions of value 3 , ABSTRIPS considers
one of them , say , ON ( C , B ) , and adds stack ( C , B ) to the goal stack . ( If
ABSTRIPS had selected the other component to work on first , it would later have
had to ...
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