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Exploration de modèles agent

Arnaud Banos 1 Philippe Caillou 2, 3 Benoit Gaudou 4, 5 Nicolas Marilleau 6 
3 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
4 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
IRIT - Institut de recherche en informatique de Toulouse
Abstract : The previous chapters have allowed us to introduce the basics of agent-based model creation with NetLogo. This has resulted in a model such as the one used in our running example. Once the model has been built, the aim is to manipulate it in such a way that new knowledge about the modeled phenomenon can be created. For example, we could look to study the rate of infection resulting from certain parameter values. The use and study of a model is nonetheless as complex as its creation. As such, using our model, we could launch the simulation with standard initial parameters (say 300 humans, 500 mosquitoes, a contamination distance of 5 and a work-home distance of 500), and we would obtain the graph indicating no infection beyond the source mosquito, which would lead us to conclude that these parameters lead to no infections. However, upon relaunching the simulation with the exact same values, we might obtain the graph with the infection present in almost 100% of individuals after 1000 iterations.
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Contributor : Philippe Caillou Connect in order to contact the contributor
Submitted on : Thursday, October 15, 2015 - 5:09:07 PM
Last modification on : Friday, August 5, 2022 - 2:47:34 PM


  • HAL Id : hal-01216207, version 1


Arnaud Banos, Philippe Caillou, Benoit Gaudou, Nicolas Marilleau. Exploration de modèles agent. Simulation spatiale à base d’agents avec NetLogo 1, ISTE, pp.49, 2015. ⟨hal-01216207⟩



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