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Toward a Complete Agent-Based Model of a Honeybee Colony

Abstract : 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 recruitment mechanisms and the behaviour of foraging bees, and how these bees interact with the hive's environment, greatly different in scale. We present a customizable, agent-compliant module called the Ecosystem Module, that aims at modelling ant simulating the foraging, according to the local weather and the surrounding nectar sources. First results back up our model, showing that these recruitment mechanisms lead to a self-organizing process of the best available sources selection by the agents.
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https://hal.inrae.fr/hal-02786982
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Submitted on : Friday, June 5, 2020 - 1:06:35 AM
Last modification on : Wednesday, September 23, 2020 - 5:24:19 PM

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Jeremy Riviere, Cédric Alaux, Yves Le Conte, Yves Layec, André Lozac’h, et al.. Toward a Complete Agent-Based Model of a Honeybee Colony. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection : International Workshops of PAAMS 2018, Toledo, Spain, June 20–22, 2018, Proceedings, 887 (Chapter 42), Springer International Publishing Ag, 552 p. - XXIII, 2018, Communications in Computer and Information Science, 978-3-319-94778-5. ⟨10.1007/978-3-319-94779-2_42⟩. ⟨hal-02786982⟩

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