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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An important paper by Codd ( 1970 ) formalizes a relational model for database
management . Papers describing various applications of Al and logic to database
organization and retrieval are contained in a book edited by Gallaire and Minker
An important paper by Marr ( 1976 ) theorizes about the computational and
representational mechanisms of human vision . Kanade ( 1977 ) reviews some of
the important general aspects of vision systems , and Agin ( 1977 ) surveys some
But much important control knowledge is specific to the domain in which the AI
program is to operate . It is often just as important for the physicians , chemists ,
and other domain experts to supply control knowledge as it is for them to supply ...
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