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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THE FRAME PROBLEM To use a familiar analogy , the changes between one
state description and another can be compared to changes ... In very simple
animations , certain characters move in a fixed background from frame to frame .
Typically , the frame problem is more critical for the detailed models because they
must take into account couplings among world state components that might be
ignored at higher levels . Another aspect of the frame problem concerns how to ...
BIBLIOGRAPHICAL AND HISTORICAL REMARKS Modeling robot actions by
STRIPS - form rules was proposed , as a partial solution to the frame problem , in
a paper by Fikes and Nilsson ( 1971 ) . A similar approach is followed in the ...
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PRODUCTION SYSTEMS AND AI
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