Titlebook: Over-Constrained Systems; Michael Jampel,Eugene Freuder,Michael Maher Conference proceedings 1996 Springer-Verlag Berlin Heidelberg 1996 C

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Rolf Wei?schnur,Joachim Hertzberg,Hans Werner Guesgenimately will have to be resolved at the state or local level. Contributions to this book examine all of these issues, making it of interest to students in urban studies, public administration, history and political science as well as policy-makers concerned with local government and autonomy.

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imately will have to be resolved at the state or local level. Contributions to this book examine all of these issues, making it of interest to students in urban studies, public administration, history and political science as well as policy-makers concerned with local government and autonomy.

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Constraint hierarchies, relations among these alternatives. We then outline algorithms for satisfying constraint hierarchies, and ways in which we have used constraint hierarchies in a number of programming languages and systems.

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Partial arc consistency,arc consistent subnetwork of it in sublinear (. log .)) parallel time using ..) processors. This algorithm removes at least a constant fraction of the local inconsistencies of a general constraint network, without eliminating any globally consistent assignment of values. To our knoweldge, it is the

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Solving over-constrained CSP using weighted OBDDs,nding optimal solutions can be solved easily and efficiently by our approach. One important problem in OBDD is the amount of memory required to represent the OBDD. In the worst case, this amount is in .(2.) where . is the number of propositional variables for static CSPs. We prove here that, if the

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Partial constraint satisfaction,ses it may be impossible or impractical to solve these problems completely. We may seek to partially solve the problem, in particular by satisfying a maximal number of constraints. Standard backtracking and local consistency techniques for solving constraint satisfaction problems can be adapted to c