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Research in the Coconut team focuses on Constraint Programming, with a special interest in:

  • Constraint propagation and complexity of constraint satisfaction;
  • Constraint acquisition, data mining and validation; Interval constraint programming;
  • Precision agriculture.

Other topics of interest are symmetries, cost function networks, adaptive solving, and distributed constraint reasoning.

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Constraint Acquisition Constraint Satisfaction Problem Reordering Constraint Propagation Weighted model counting Constraint programming Landscape indices View selection Interval constraint programming Curiosity Complexity Spatial and Temporal Reasoning Global inverse consistency Alldifferent Parameter estimation Global constraints Robotics Developmental robotics Acquisition Apprentissage automatique Programmation par contraintes Relational probabilistic reasoning Contradiction Anytime computation Relational learning Constraint satisfaction problems Fault localization Fragmentation Apprentissage interactif Human/Computer Cooperation Scientific discovery Constraint and logic programming Virtual arc consistency AUXILIARY INFORMATION Weighted CSP Query processing and optimization APPRENTISSAGE Apprentissage Annotation Galois lattices ADAPTIVE INTERFACE Learning to reason Discovery Learning Logique Agent communication languages Online learning Ingénierie des Exigences Geographic Information Combinatorial optimization Decomposition Differential harvest AI applications Autonomy Débat Constraint Satisfaction Graph classification Requirements Engineering Materialized views Heavy-tailed distributions Answer set programming Algorithmes Branch and bound ADME-T Clustering Arc consistency Analytic hierarchy process Constraint Satisfaction and Optimization Yield estimation Acquisition des connaissances Connectivity Global optimization Reinforcement learning ALGORITHM Precision viticulture Sampling Constraint Learning Viticulture Constraint satisfaction Spinoza Constraint satisfaction problem Constraint acquisition Annotations Graph mining Analyse de code AHP Modélisation conceptuelle Apprentissage Interactif Machine learning Algorithms Exponentiated gradient learning APPRENTISSAGE HUMAIN Qualitative Constraints Constraint Programming Cost Function Networks Logic Acquisition de contraintes Agents Intrinsic motivation Active learning Constraint propagation