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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Rules are applied to the state descriptions to produce new state descriptions ,
and these rules are called F - rules . If , instead , we choose to employ problem
goal descriptions as the global database , we shall say that the system is a
Each leads to a different instance of F - rule that can be applied . The second
component of the F - rule is a list of literals ( possibly containing free variables )
called the delete list . When an F - rule is applied to a state description , the match
All of the F - rules above the marker have been applied , and the condition just
under the marker , namely , CLEAR ( B ) , must now be tested . ( For clarity , we
include next to our goal stacks a picture of the state produced by applying the F ...
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