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 Intelligenceevolved 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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... Efficient problem solution requires more than an efficient control strategy . It requires selecting good representations for problem states , moves , and goal conditions . The representation of a problem has a great influence on the ...
... efficient to solve a problem in one direction rather than the other . Suppose , for example , that there were a large number of explicit goal states and one initial state . It would not be very efficient to try to solve such a problem ...
... efficient . The more informed algorithm may indeed have to make more costly computations , which would destroy efficiency . Nevertheless , the number of nodes expanded by an algorithm is one of the factors that determines efficiency ...
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