Collective infotaxis with reactive amoebae: a note on a simple bio-inspired mechanism
Abstract
The purpose of this note is to study how to coordinate a team of agents that need to locate a hidden source on a two-dimensional discrete grid. The diculty is that the source emits an information which can only be detected sporadically. This problem arises is various situations found in Nature, for instance when insects emit pheromones to attract their partners. A search mechanism named infotaxis was proposed to explain how agents may locate the source by using only intermittent detections. Here, we study this problem in the context of stochastic cellular au-tomata and reactive multi-agent systems. We present a bio-inspired model for the collective infotaxis search. The model, inspired by the behaviour of the social amoeba Dictyostelium, relies on the use of reaction-diusion waves to guide the agents to the source. The formation of group is ensured by the non-simultaneous emissions of waves: the behaviour is totally decentralised and the agents successively act as emitters of waves or listeners , according to their local perceptions. We present a rst study that shows that the model is worth of consideration and may provide a simple solution to the problem of coordinating a team to search a source of information with only sparse detections.
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Is described by hal-01575568 Master thesis Quentin Ladeveze. Infotaxie collective : coordonner une équipe d'agents pour trouver une source. Automates cellulaires et gaz sur réseau [nlin.CG]. 2017. ⟨hal-01575568⟩