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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... Artificial Intelligence , University of Edinburgh , Hope Park Sq . , Edinburgh , EH8 9NW , Scotland . ) PCAI 1978. Proceedings of the AISB / GI Conference on Artificial Intelli- gence . Hamburg ; July . ( Copies available from Dept. of ...
... Artificial Intelligence , 5 ( 3 ) , 235—316 . ( Reprinted in Z. Manna and R. J. Waldinger ( Eds . ) , Studies in Automatic Programming Logic . New York : North - Holland , 1977. ) Walker , D. E. , and Norton , L. M. ( Eds . ) 1969 ...
... Artificial Intelligence . Reading , MA : Addison- Wesley . Winston , P. H. 1979. Learning by Understanding Analogies . Memo 520 , MIT Artificial Intelligence Laboratory , April . ( Rev. , June . ) Winston , P. H. , and Brown , R. H. ...
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