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