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Scientific article
Open access
English

Optimal network topology for responsive collective behavior

Published inScience advances, vol. 5, no. 4, eaau0999
Publication date2019-04-05
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.

eng
Affiliation Not a UNIGE publication
Funding
  • Ministry of Education - Singapore - [SUTDT2017001]
  • Singapore University of Technology and Design - [IDG31700107]
Citation (ISO format)
MATEO, David et al. Optimal network topology for responsive collective behavior. In: Science advances, 2019, vol. 5, n° 4, p. eaau0999. doi: 10.1126/sciadv.aau0999
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Article (Published version)
Identifiers
ISSN of the journal2375-2548
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