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Noël PA, Brummitt CD, D'Souza RM. Controlling self-organizing dynamics on networks using models that self-organize. Phys Rev Lett. 2013;111(7):078701doi: 10.1103/PhysRevLett.111.078701.
Noël, P. A., Brummitt, C. D., & D'Souza, R. M. (2013). Controlling self-organizing dynamics on networks using models that self-organize. Physical review letters, 111(7), 078701. https://doi.org/10.1103/PhysRevLett.111.078701
Noël, Pierre-André, et al. "Controlling self-organizing dynamics on networks using models that self-organize." Physical review letters vol. 111,7 (2013): 078701. doi: https://doi.org/10.1103/PhysRevLett.111.078701
Noël PA, Brummitt CD, D'Souza RM. Controlling self-organizing dynamics on networks using models that self-organize. Phys Rev Lett. 2013 Aug 16;111(7):078701. doi: 10.1103/PhysRevLett.111.078701. Epub 2013 Aug 12. PMID: 23992086.
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Phys Rev Lett. 2013 Aug 16;111(7):078701. doi: 10.1103/PhysRevLett.111.078701. Epub 2013 Aug 12.

Controlling self-organizing dynamics on networks using models that self-organize.

Physical review letters

Pierre-André Noël, Charles D Brummitt, Raissa M D'Souza

Affiliations

  1. University of California, Davis, California 95616, USA. [email protected]

PMID: 23992086 DOI: 10.1103/PhysRevLett.111.078701

Abstract

Controlling self-organizing systems is challenging because the system responds to the controller. Here, we develop a model that captures the essential self-organizing mechanisms of Bak-Tang-Wiesenfeld (BTW) sandpiles on networks, a self-organized critical (SOC) system. This model enables studying a simple control scheme that determines the frequency of cascades and that shapes systemic risk. We show that optimal strategies exist for generic cost functions and that controlling a subcritical system may drive it to criticality. This approach could enable controlling other self-organizing systems.

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