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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One might argue that if a control strategy of a production system possessed
sufficient knowledge about a puzzle to select irrevocably an appropriate rule to
apply to each state description , then it would have the puzzle ' s solution built
into it ...
The knowledge about a problem that is represented in the global database is
sometimes called declarative knowledge . In an intelligent information retrieval
system , for example , the declarative knowledge would include the main
database of ...
Techniques for automating this knowledge acquisition process would constitute a
major advance in AI technology . We shall briefly discuss three ways in which
knowledge acquisition might be automated . First , special editing systems might
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