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