Berlin 2018 – scientific programme

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DY: Fachverband Dynamik und Statistische Physik

DY 67: Poster: Active Matter, Microswimmers

DY 67.2: Poster

Thursday, March 15, 2018, 15:30–18:00, Poster A

Active systems learning at the microscale — •Santiago Muiños-Landin¹, Keyan Ghazi-Zahedi², and Frank Cichos¹ — ¹Molecular Nanophotonics. University of Leipzig. Institut for Experimental Physics I — ²Information Theory of Cognitive Systems, Max Planck Institute for Mathematics in the Sciences

Information exchange makes a collectivity stronger. Different species use interactions between members of a group in order to share information optimizing the solution of problems. These interactions usually rely on sensing mechanisms that individuals also use in order to improve their own knowledge in a feedback loop. Such improvements let them evolve in their behavior through decision making or a learning process. Here we propose a microswimmer collective behavior mechanism based on our previous work, where information exchange is possible through the definition of artificial interactions and behavior evolution is reached via reinforcement learning. We combine these two ideas with swarm algorithms to show how intelligent active behavior is possible in a well defined collective of artificial microswimmers.