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Artificial Intelligence

Constraint programming is a powerful tool for solving many artificial intelligence problems that can be modeled as CSPs. Much effort has been spent on increasing the efficiency of algorithms for solving CSPs, as reflected in the literature. However, most of these techniques assume that the set of variables, domains and constraints involved in the CSP are known and fixed when the problem is modeled. This is a strong limitation when we deal with real life situations because these problems may come from uncertain and dynamic environments.

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