This seminal text of Computer Science, the most cited book on the
subject, is now available for the first time in paperback.
Constraint satisfaction is a decision problem that involves finite
choices. It is ubiquitous. The goal is to find values for a set of
variables that will satisfy a given set of constraints. It is the
core of many applications in artificial intelligence, and has found
its application in many areas, such as planning and scheduling.
Because of its generality, most AI researchers should be able to
benefit from having good knowledge of techniques in this field.
Originally published in 1993, this now classic book was the first
attempt to define the scope of constraint satisfaction. It covers
both the theoretical and the implementation aspects of the subject.
It provides a framework for studying this field, relates different
research, and resolves ambiguity in a number of concepts and
algorithms in the literature. This seminal text is arguably the
most rigorous book in the field. All major concepts were defined in
First Order Predicate Calculus. Concepts defined this way are
precise and unambiguous.
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