index - Agents, Apprentissage, Contraintes Access content directly

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