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Définition d'un cadre méthodologique pour la conception de modèles multi-agents adaptée à la gestion des ressources renouvelables

Abstract : The potentialities of the MAS should not hide the difficulties the modelisator can encounter. More precisely, the question of models validation is regularly mentioned. The probabilities of revealing errors or bugs are not negligible. One can then legitimately wonder about the reliability of the simulators. However, the main problems don't come from errors of coding but rather from the management of the interactions or activations of the agents. Often underestimated, a rough management may produce artifacts and one can give by mistake the wrong properties to a model. Some techniques limit the emergence of this kind of bias by reinforcing for example the autonomy of the agents. Nevertheless, they are difficult to implement. It is rather worthy to be aware of the hot areas that may generate artifacts and to use standard procedures by adapting them to the modeled field.Modeling of the socio-ecosystems is not just a data-processing speciality, but request a confirmed know-how and the modelisator must take a critical look at its own tools. It is required to improve their robustness by showing that they exhibit relatively stable behaviors. The independent replication of a simulator reinforces its reliability. Indeed, to check and reproduce experimentation appear as the rule of any rigorous scientific method. But the difficulties of replication are affected by miss readability of the MAS. It is thus essential to describe it in a clear and non-ambiguous way. A work of re-presentation must be carried out to design reorganized diagrams that put the light on the essential points of the model and authorize discussions and criticisms.
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Contributor : Pierre Bommel Connect in order to contact the contributor
Submitted on : Thursday, June 17, 2010 - 5:54:06 PM
Last modification on : Thursday, January 20, 2022 - 1:39:51 PM


  • HAL Id : tel-00396803, version 3



Pierre Bommel. Définition d'un cadre méthodologique pour la conception de modèles multi-agents adaptée à la gestion des ressources renouvelables. Modélisation et simulation. Université Montpellier II - Sciences et Techniques du Languedoc, 2009. Français. ⟨tel-00396803v3⟩



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