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Stability and Responsiveness in a Self-Organized Living Architecture
Author(s) -
Simon Garnier,
Tucker Murphy,
Matthew J. Lutz,
Edward Hurme,
Simon Leblanc,
Iain D. Couzin
Publication year - 2013
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1002984
Subject(s) - robustness (evolution) , adaptability , modular design , flexibility (engineering) , computer science , parameterized complexity , stability (learning theory) , living systems , distributed computing , architecture , ecology , artificial intelligence , biology , mathematics , machine learning , art , biochemistry , statistics , algorithm , gene , visual arts , operating system
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.

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