title: Stability and responsiveness in a self-organized living architecture.
abstract: Robustness and adaptability are central to the functioning of biological systems, from gene networks to animal societies. Yet the mechanisms by which living organisms achieve both stability to perturbations and sensitivity to input are poorly understood. Here, we present an integrated study of a living architecture in which army ants interconnect their bodies to span gaps. We demonstrate that these self-assembled bridges are a highly effective means of maintaining traffic flow over unpredictable terrain. The individual-level rules responsible depend only on locally-estimated traffic intensity and the number of neighbours to which ants are attached within the structure. We employ a parameterized computational model to reveal that bridges are tuned to be maximally stable in the face of regular, periodic fluctuations in traffic. However analysis of the model also suggests that interactions among ants give rise to feedback processes that result in bridges being highly responsive to sudden interruptions in traffic. Subsequent field experiments confirm this prediction and thus the dual nature of stability and flexibility in living bridges. Our study demonstrates the importance of robust and adaptive modular architecture to efficient traffic organisation and reveals general principles regarding the regulation of form in biological self-assemblies.
authors.affiliation: Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America. simon.garnier@gmail.com
authors.forename: Simon
authors.initials: S
authors.lastname: Garnier
authors.forename: Tucker
authors.initials: T
authors.lastname: Murphy
authors.forename: Matthew
authors.initials: M
authors.lastname: Lutz
authors.forename: Edward
authors.initials: E
authors.lastname: Hurme
authors.forename: Simon
authors.initials: S
authors.lastname: Leblanc
authors.forename: Iain D
authors.initials: ID
authors.lastname: Couzin
mesh_terms: D000819:Animal Communication; D000818:Animals; D001000:Ants / Q000502:physiology*; D001070:Appetitive Behavior / Q000502:physiology*; D001696:Biomechanical Phenomena / Q000502:physiology; D019295:Computational Biology; D003198:Computer Simulation; D009043:Motor Activity / Q000502:physiology; D018709:Statistics, Nonparametric
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