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Multi-platform training sessions to teach agent-based simulation

Le Page Christophe, Abrami Géraldine, Becu Nicolas, Bommel Pierre, Bonte Bruno, Bousquet François, Gaudou Benoit, Müller Jean Pierre, Taillandier Patrick. 2015. Multi-platform training sessions to teach agent-based simulation. . Tempe : Complex Systems Society, Résumé, 1 p. Conference on Complex Systems, Tempe, États-Unis, 28 September 2015/2 October 2015.

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Matériel d'accompagnement : 1 diaporama (17 vues)

Abstract : Since 2011, an international training session is organized every summer in Montpellier (France) by a group of researchers who are using (and for some of them developping) various generic agent-based simulation platforms (Cormas, Gama, Mimosa, NetLogo). A benchmark model is implemented from scratch and demonstrated with these platformas by the trainers. From a textual description of a stylized socio-ecological system, the successive steps leading to a runnable model are performed in front of the trainees. The implementation is influenced by the platform, and also by the modellers' interpretations made from the initial description. More formal descriptions (like UML) are needed to enable implementing equivalent models with the different platforms. We draw some lessons from these parallel implementations of a benchmarck model, a process that slightly differs from the replication of an existing agent-based model. (Texte intégral)

Classification Agris : U10 - Computer science, mathematics and statistics
C20 - Extension
A50 - Agricultural research

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Source : Cirad-Agritrop (https://agritrop.cirad.fr/579239/)

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