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Constraint Programming in Sweden
IEEE Intelligent Systems, 2009Many important problems must be solved by intelligent search for example, problems in scheduling, rostering, configuration, facility location, biology, finance, circuit layout, and hard/software specification checking. Constraint programming (CP) is rapidly becoming the method of choice in some areas, such as scheduling and configuration.
Pierre Flener +2 more
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Algorithms and Constraint Programming
2006Constraint Programming is a powerful programming paradigm with a great impact on a number of important areas such as logic programming[45], concurrent programming[42], artificial intelligence[12], and combinatorial optimization[46]. We believe that constraint programming is also a rich source of many challenging algorithmic problems, and cooperations ...
Fabrizio Grandoni 0001 +1 more
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Programming constraints by demonstration
Journal of Visual Languages & Computing, 2003Abstract The executable constraint is proposed to offer designers a way to define a new set of constraints on top of an editing tool. It aims mainly to maintain the integrity of data structures such as diagrams that users create, during an edit session.
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The Knowledge Engineering Review, 1991
Abstract Constraint logic programming (CLP) is a generalization of logic programming (LP) where unification, the basic operation of LP languages, is replaced by constraint handling in a constraint system. The resulting languages combine the advantages of LP (declarative semantics, nondeterminism, relational form) with the efficiency ...
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Abstract Constraint logic programming (CLP) is a generalization of logic programming (LP) where unification, the basic operation of LP languages, is replaced by constraint handling in a constraint system. The resulting languages combine the advantages of LP (declarative semantics, nondeterminism, relational form) with the efficiency ...
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Principles of Constraint Programming
2003Constraints are everywhere: most computational problems can be described in terms of restrictions imposed on the set of possible solutions, and constraint programming is a problem-solving technique that works by incorporating those restrictions in a programming environment. It draws on methods from combinatorial optimisation and artificial intelligence,
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1998
Constraint Programming (CP) has proven useful in several areas, and though the initial impetus came from logic programming frameworks like CLP and CCP, the use of CP and constraint solving is obtaining wider appeal. We suggest that the limiting features of traditional CP are a dependence on a (logic) language, the need for monotonicity in the ...
Joxan Jaffar, Roland H. C. Yap
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Constraint Programming (CP) has proven useful in several areas, and though the initial impetus came from logic programming frameworks like CLP and CCP, the use of CP and constraint solving is obtaining wider appeal. We suggest that the limiting features of traditional CP are a dependence on a (logic) language, the need for monotonicity in the ...
Joxan Jaffar, Roland H. C. Yap
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Concurrent Constraint Programming
1993Concurrent Constraint Programming introduces a new and rich class of programming languages based on the notion of computing with partial information, or constraints, that synthesize and extend work on concurrent logic programming and that offer a promising approach for treating thorny issues in the semantics of concurrent, nondeterministic programming ...
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The Impact of Constraint Programming
2008Constraint programming is a success story for artificial intelligence. It quickly moved from research laboratories to industrial applications and is in daily use to solve complex optimization throughout the world. At the same time, constraint programming continued to evolve, addressing new needs and opportunities. This talk reviews some recent progress
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Constraint Programming MapReduce'd
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016While Constraint Programming (CP) aims to explore efficiently large search trees, MapReduce (MR) is a framework that focuses on huge databases and text files. In this work, we try to bridge these two cutting-edge paradigms in order to solve Constraint Satisfaction Problems (CSPs) in distributed and/or parallel environments.
Nikolaos Pothitos +1 more
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Programming constraint services
2004Diese Dissertation beschreibt Entwurf, Verwendung, Implementierung und Evaluierung von Computation Spaces für die Programmierung von Constraintdiensten. Spaces werden in eine nebenläufige Programmiersprache integriert. Sie fungieren als Kapseln für Berechnungen mit Constraints. Dadurch wird die Kompatibilität zu nebenläufigen Berechnungen gewährleistet.
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