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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Although there is no formal difference between a production system that works on
a problem in a forward direction and one that works in a backward direction , it is
often convenient to make this distinction explicit . When a problem has ...
A COMBINATION FORWARD AND BACKWARD SYSTEM Both the forward and
the backward rule - based deduction systems had limitations . The backward
system could handle goal expressions of arbitrary form but was restricted to fact ...
A BACKWARD PRODUCTION SYSTEM 7 . 4 . 1 . DEVELOPMENT OF THE B -
RULES In order to construct robot plans in an efficient fashion , we often want to
work backward from a goal expression to an initial state description , rather than ...
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