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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NATURAL LANGUAGE PROCESSING When humans communicate with each
other using language , they employ , almost effortlessly , extremely complex and
still little understood processes . It has been very difficult to develop computer ...
A computer system capable of understanding a message in natural language
would seem , then , to require ( no less than would a human ) both the contextual
knowledge and the processes for making the inferences ( from this contextual ...
The first order predicate calculus is a formal language in which a wide variety of
statements can be expressed . Throughout the rest of the book , we use
expressions in the predicate calculus language as components of the global
databases of ...
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PRODUCTION SYSTEMS AND AI
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