Gregory Beurier
Gregory Beurier
Verified email at cirad.fr
Title
Cited by
Cited by
Year
The TurtleKit simulation platform: Application to complex systems
F Michel, G Beurier, J Ferber
SITIS: Signal-Image Technology and Internet–Based Systems, 2005
462005
Model and simulation of multi-level emergence
G Beurier, O Simonin, J Ferber
ISSPIT: International Symposium on Signal Processing and Information Technology, 2002
362002
A morphogenesis model for multiagent embryogeny
G Beurier, F Michel, J Ferber
The 10th International Conference on the Synthesis and Simulation of Living …, 2006
342006
Un modèle de système multi-agent pour l'émergence multi-niveau.
G Beurier, O Simonin, J Ferber
Technique et Science Informatiques 22 (4), 235-247, 2003
172003
The turtlekit platform: application to multi-level emergence
F Michel, G Beurier, A Gouaıch, J Ferber
ABS 4 Agent-Based Simulation 4, 2003
52003
Towards an evolution model of multiagent organisms
G Beurier, F Michel, J Ferber
Multi-Agents for modeling Complex Systems, Satellite Workshop of the …, 2005
42005
The turtlekit simulation platform: Application to multi-level emergence
F Michel, G Beurier, J Ferber
Agent Based Simulation 4, 2003
42003
Codage indirect de la forme dans les systèmes multi-agents: émergence multi-niveaux, évolution et morphogénèse
G Beurier
Montpellier 2, 2007
22007
Modèle de SMA réactif et récursif pour l'émergence multi-niveaux
G Beurier
22002
Modelling tiller growth and mortality as a sink-driven process using Ecomeristem: implications for biomass sorghum ideotyping
F Larue, D Fumey, L Rouan, JC Soulié, S Roques, G Beurier, D Luquet
Annals of Botany 124 (4), 675-690, 2019
12019
The TurtleKit Simulation Platform: A Multi-Agent Tool for Designing and Studying Complex Systems
G Beurier, F Michel
12008
Structuration de la variabilité génétique et étude d’association pan-génomique des caroténoïdes utilisant la technologie DArTseq chez les populations locales de blé dur Tunisien
C Robbana
2020
Autoencoding Genetic Markers to Predict the Value of Ecophysiological Model Parameters-Proof of Concept Using a Sorghum Diversity Panel
F Larue, G Beurier, L Rouan, D Pot, JF Rami, D Luquet
Multidisciplinary Digital Publishing Institute Proceedings 36 (1), 70, 2020
2020
Assembler la diversité des modèles classiques et" deep learning" pour développer un pipeline de calibration SPIR performant et générique
D Cornet, L Desfontaines, F Cormier, C Marie-Magdeleine, G Arnau, ...
HélioSPIR, 2019
2019
GECKO is a genetic algorithm to classify and explore high throughput sequencing data
A Thomas, S Barriere, L Broseus, J Brooke, C Lorenzi, JP Villemin, ...
Communications biology 2 (1), 1-8, 2019
2019
Analyzing and modelling biomass accumulation in sorghum stem and its drought regulation at tissue and organ level–genotypic variability and implications for ideotype conception
P Luquet, L Perrier, A Clément-Vidal, S Jaffuel, JL Verdeil, D Pot, F Larue, ...
2018
Conception de bases de données expérimentales à des fins de modélisation-Interfaçage avec R
S Auzoux, S Paradis, L Rouan
CIRAD, 2018
2018
Using Phenoarch platform to dissect the genetic and physiological control of growth and water use response to drought of African sorghum.[P61]
F Larue, S Roques, G Beurier, L Rouan, L Cabrera-Bosquet, N Luchaire, ...
University of Pretoria, 2018
2018
Agent-based models to address the spatial complexity of biological and physical interactions in soils
G Beurier, C Cambier, N Marilleau, E Perrier, R Duponnois
EGU General Assembly Conference Abstracts 11, 12598, 2009
2009
Agent-based models to address the spatial complexity of biological and physical interactions in soils
RD G. Beurier, C. Cambier, N. Marilleau, E. Perrier
Geophysical Research Abstracts, 2009
2009
The system can't perform the operation now. Try again later.
Articles 1–20