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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... important papers . Work in language processing draws on several disciplines besides AI- most notably , computational linguistics , philosophy , and cognitive psy- chology . 0.3.2 . INTELLIGENT RETRIEVAL FROM DATABASES Two excellent ...
... 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 of the ...
... 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 ...
PRODUCTION Systems and AI
SEARCH Strategies FOR
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