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