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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There seems no way to solve this problem by selecting one component , solving
it , and then solving the other component without undoing the solution to the first .
We say that the component goals of this problem interact . Solving one goal ...
Comparing deduction systems with a STRIPS - like system , we must not be
tempted to claim that one type can solve problems ... In fact , by suitable control
mechanisms , the problem - solving traces of different types of systems can be
The STRIPS problem - solving system is described in Fikes and Nilsson ( 1971 ) .
The version of STRIPS discussed in ... Ernst and Newell ( 1969 ) describe how
later versions of GPS solve a variety of problems . Ernst ( 1969 ) presents a
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