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In this paper, we study swarm intelligence phenomena using the logistic multi-agent system model (LMAS). This model derives from the "coupled map lattice" family of models, which is usually considered in the field of complex systems. After recalling the fact that the LMAS enables simulating flocking phenomena in a self-organized way, we study its adaptive capabilities by applying it to a predators-prey pursuit simulation, in order to visualize the effect of the environment on the control variable of the agents.

Modeling swarm phenomena using logistic agents: application to a predators-prey pursuit