Optimal network topology for responsive collective behavior.

ABSTRACT: Animals, humans, and multi-robot systems operate in dynamic environments, where the ability to respond to changing circumstances is paramount. An effective collective response requires suitable information transfer among agents and thus critically depends on the interaction network. To investigate the influence of the network topology on collective response, we consider an archetypal model of distributed decision-making and study the capacity of the system to follow a driving signal for varying topologies and system sizes. Experiments with a swarm of robots reveal a nontrivial relationship between frequency of the driving signal and optimal network topology. The emergent collective response to slow-changing perturbations increases with the degree of the interaction network, but the opposit

SUBMITTER: Mateo D 

PROVIDER: S-EPMC6447377 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature