Collective self-optimization of communicating active particles.

Autor: Zampetaki, Alexandra V., Liebchen, Benno, Ivlev, Alexei V., Löwen, Hartmut
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Zdroj: Proceedings of the National Academy of Sciences of the United States of America; 12/7/2021, Vol. 118 Issue 49, p1-7, 7p
Abstrakt: The quest for how to collectively self-organize in order to maximize the survival chances of the members of a social group requires finding an optimal compromise between maximizing the well-being of an individual and that of the group. Here we develop a minimal model describing active individuals which consume or produce, and respond to a shared resource--such as the oxygen concentration for aerotactic bacteria or the temperature field for penguins--while urging for an optimal resource value. Notably, this model can be approximated by an attraction-repulsion model, but, in general, it features many-body interactions. While the former prevents some individuals from closely approaching the optimal value of the shared "resource field," the collective many-body interactions induce aperiodic patterns, allowing the group to collectively self-optimize. Arguably, the proposed optimal field-based collective interactions represent a generic concept at the interface of active matter physics, collective behavior, and microbiological chemotaxis. This concept might serve as a useful ingredient to optimize ensembles of synthetic active agents or to help unveil aspects of the communication rules which certain social groups use tomaximize their survival chances. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index