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Handbook of Constraint Programming by Toby Walsh, Peter van Beek, Francesca Rossi

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Foundations of Artificial Intelligence, Vol. 2, Suppl. (C), 2006

ISSN: 1574-6526

doi: 10.1016/S1574-6526(06)80025-8

Chapter 21 Uncertainty and Change

Kenneth N. Brown, Ian Miguel

Constraint Programming (CP) has proven to be a very successful technique for reasoning about assignment problems, as evidenced by the many applications described elsewhere in this book. Much of its success is due to the simple and elegant underlying formulation: describe the world in terms of decision variables that must be assigned values, place clear and explicit restrictions on the values that may be assigned simultaneously, and then find a set of assignments to all the variables that obeys those restrictions. Thus, CP makes two assumptions about the problems ...

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