Les Systèmes Multi-Agents (SMA) ont montré depuis plusieurs années leur adéquation à modéliser et simuler les systèmes complexes. Nous suivons cette approche pour modéliser une colonie d’abeilles située dans une ruche Dadant, où plusieurs dizaines de milliers d’individus interagissent, dans le but d’évaluer l’impact d’actions locales au niveau des abeilles (e.g. pratiques apicoles) sur la colonie. Nous nous concentrons ici sur l’activité de butinage, en nous intéressant plus particulièrement au phénomène d’auto-organisation qui conduit les butineuses à sélectionner les meilleures sources de nourriture disponibles. Les interactions des butineuses avec l’environnement extérieur de la ruche, qui diffère de l’intérieur en termes de granularité des actions et d’échelle, sont simulées grâce à un module paramétrable et compatible agent, en fonction de la météo et des sources de nourriture environnantes. Les résultats de deux expérimentations du modèle, l’une sur une année complète, et l’autre sur une journée, montrent que le phénomène d’auto-organisation des butineuses résulte du comportement des butineuses et des mécanismes de recrutement implantés, et offrent une première validation de notre modèle.
The agent-based approach has been successfully used in the past years to model and simulate complex systems. We use this approach on a honeybee colony in a Dadant hive, where several tens of thousands of bees interact, in order to evaluate the impact of local actions at the bee-level (such as beekeeping practices) on the global system. In this article, we focus on the foraging activity, its self-organisation mechanisms and the behaviour of foraging bees, and how these bees interact with the environment of the hive, greatly different in granularity and scale. We present a customizable, agent-compliant module that aims at modelling and simulating the foraging, according to the weather and the surrounding nectar sources. The results of two experimentations provide a first validation of our model, showing that the agents’ behaviours lead to a self-organizing process of the best available sources’ selection.
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Mots clés : Multiagent simulation, Self-organization, Environment, Complex Systems
Jérémy Rivière 1 ; Thomas Alves 1 ; Cédric Alaux 2 ; Yves Le Conte 2 ; Yves Layec 3 ; André Lozac’h 3 ; Frank Singhoff 1 ; Vincent Rodin 1
CC-BY 4.0
@article{ROIA_2022__3_5-6_423_0,
author = {J\'er\'emy Rivi\`ere and Thomas Alves and C\'edric Alaux and Yves Le Conte and Yves Layec and Andr\'e Lozac{\textquoteright}h and Frank Singhoff and Vincent Rodin},
title = {Mod\`ele multi-agent d{\textquoteright}auto-organisation pour le butinage au sein d{\textquoteright}une colonie d{\textquoteright}abeilles},
journal = {Revue Ouverte d'Intelligence Artificielle},
pages = {423--450},
publisher = {Association pour la diffusion de la recherche francophone en intelligence artificielle},
volume = {3},
number = {5-6},
year = {2022},
doi = {10.5802/roia.38},
language = {fr},
url = {https://roia.centre-mersenne.org/articles/10.5802/roia.38/}
}
TY - JOUR AU - Jérémy Rivière AU - Thomas Alves AU - Cédric Alaux AU - Yves Le Conte AU - Yves Layec AU - André Lozac’h AU - Frank Singhoff AU - Vincent Rodin TI - Modèle multi-agent d’auto-organisation pour le butinage au sein d’une colonie d’abeilles JO - Revue Ouverte d'Intelligence Artificielle PY - 2022 SP - 423 EP - 450 VL - 3 IS - 5-6 PB - Association pour la diffusion de la recherche francophone en intelligence artificielle UR - https://roia.centre-mersenne.org/articles/10.5802/roia.38/ DO - 10.5802/roia.38 LA - fr ID - ROIA_2022__3_5-6_423_0 ER -
%0 Journal Article %A Jérémy Rivière %A Thomas Alves %A Cédric Alaux %A Yves Le Conte %A Yves Layec %A André Lozac’h %A Frank Singhoff %A Vincent Rodin %T Modèle multi-agent d’auto-organisation pour le butinage au sein d’une colonie d’abeilles %J Revue Ouverte d'Intelligence Artificielle %D 2022 %P 423-450 %V 3 %N 5-6 %I Association pour la diffusion de la recherche francophone en intelligence artificielle %U https://roia.centre-mersenne.org/articles/10.5802/roia.38/ %R 10.5802/roia.38 %G fr %F ROIA_2022__3_5-6_423_0
Jérémy Rivière; Thomas Alves; Cédric Alaux; Yves Le Conte; Yves Layec; André Lozac’h; Frank Singhoff; Vincent Rodin. Modèle multi-agent d’auto-organisation pour le butinage au sein d’une colonie d’abeilles. Revue Ouverte d'Intelligence Artificielle, Post-actes des Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2018-2019-2020), Volume 3 (2022) no. 5-6, pp. 423-450. doi : 10.5802/roia.38. https://roia.centre-mersenne.org/articles/10.5802/roia.38/
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