Titlebook: Constraint Programming; Brian Mayoh,Enn Tyugu,Jaan Penjam Conference proceedings 1994 Springer-Verlag Berlin Heidelberg 1994 Artificial In

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0258-1248 er areas. The concept of constraint programming was introduced in artificial intelligence and graphics in the 1960s and 1970s. Now the related techniques are used and studied in many fields of computing. Different aspects of constraint processing are investigated in theoretical computer science, log

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Jacob J. Glaser,Bianca Conti,Sarah B. Murthiany constraint programming techniques were developed by people primarily interested in artificial intelligence problems. In this chapter we shall look not only at the work of such pioneers, because they were explicit about the connections between AI and CP, but also at more recent work of AI-ers.

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Exploiting Structure in Constraint Satisfaction Problemsor the graph shown such that no vertices joined by an edge have the same color. The small letters indicate the choice of colors available at each vertex (a stands for aquamarine if you like). Here the variables are the vertices, the values for each variable are the set of colors available at the ver

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Constraint Hierarchies maintain the relation themselves. They are thus useful in such applications as programming languages, user interface toolkits, and simulation packages. In many situations, it is desirable to be able to state both . and . constraints. The required constraints must hold. Since the other constraints a

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Applying Constraints for Schedulingto whole classes of problems. Some of the features can be expressed as logical requirements on the solution, and can be mapped directly to constraints in logic programming Even within the logical framework there are features, like symmetry, and sheer problem size, which require some extension of the

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Concurrent Semantics for Concurrent Constraint Programsurrent language should be provided with a formal concurrent semantics. Here we describe three concurrent semantics for concurrent constraint (cc) programs. They are all based on partial order structures relating the various objects involved in the program computations, so that objects not related by