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 opposite is true for the response to fast-changing ones. These results have far-reaching implications for the design and understanding of distributed systems: a dynamic rewiring of the interaction network is essential to effective collective operations at different time scales.

journal_name

Sci Adv

journal_title

Science advances

authors

Mateo D,Horsevad N,Hassani V,Chamanbaz M,Bouffanais R

doi

10.1126/sciadv.aau0999

subject

Has Abstract

pub_date

2019-04-03 00:00:00

pages

eaau0999

issue

4

issn

2375-2548

pii

aau0999

journal_volume

5

pub_type

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