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Computer Science > Artificial Intelligence

arXiv:1002.2897 (cs)
[Submitted on 15 Feb 2010]

Title:Model-Driven Constraint Programming

Authors:Raphael Chenouard (LINA), Laurent Granvilliers (LINA), Ricardo Soto (LINA)
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Abstract: Constraint programming can definitely be seen as a model-driven paradigm. The users write programs for modeling problems. These programs are mapped to executable models to calculate the solutions. This paper focuses on efficient model management (definition and transformation). From this point of view, we propose to revisit the design of constraint-programming systems. A model-driven architecture is introduced to map solving-independent constraint models to solving-dependent decision models. Several important questions are examined, such as the need for a visual highlevel modeling language, and the quality of metamodeling techniques to implement the transformations. A main result is the s-COMMA platform that efficiently implements the chain from modeling to solving constraint problems
Subjects: Artificial Intelligence (cs.AI)
Cite as: arXiv:1002.2897 [cs.AI]
  (or arXiv:1002.2897v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.1002.2897
Journal reference: International Conference on Principles and Practice of Declarative Programming, Valence : Spain (2008)
Related DOI: https://doi.org/10.1145/1389449.1389479

Submission history

From: Raphael Chenouard [view email] [via CCSD proxy]
[v1] Mon, 15 Feb 2010 15:47:29 UTC (217 KB)
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