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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An important problem in organic chemistry involves determining the structure of a
complex organic compound , given certain experimental ... A large Al system
called DENDRAL can propose plausible structures for rather complex
In order for a goal network structure to match a fact network structure , the formula
associated with the goal structure must unify with some sub - conjunction of the
formulas associated with the fact structure . In these examples , we merely have ...
CONSE structure ( appropriately instantiated ) can then be added to the fact
network . To use a network implication as a backward rule , the CONSE structure
( regarded as a fact ) must match the goal structure . Then , the ANTE structure ...
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