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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A logical formalism for expressing propositional attitudes must have a way of
expressing the appropriate relations ... He points out several difficulties with
straightforward approaches and shows how a modal logic with a possible worlds
Predicate logic as a programming language . Information Processing 74 .
Amsterdam : North - Holland . Pp . 569 - 574 . Kowalski , R . 1974b . Logic for
Problem Solving . Memo no . 75 , Dept . of Computational Logic , University of
( 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 . International Joint Conference on Artificial
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PRODUCTION SYSTEMS AND AI
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