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A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks

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  • Omar K. Pineda
  • Hyobin Kim
  • Carlos Gershenson

Abstract

Antifragility is a property that enhances the capability of a system in response to external perturbations. Although the concept has been applied in many areas, a practical measure of antifragility has not been developed yet. Here we propose a simply calculable measure of antifragility, based on the change of “satisfaction” before and after adding perturbations, and apply it to random Boolean networks (RBNs). Using the measure, we found that ordered RBNs are the most antifragile. Also, we demonstrated that seven biological systems are antifragile. Our measure and results can be used in various applications of Boolean networks (BNs) including creating antifragile engineering systems, identifying the genetic mechanism of antifragile biological systems, and developing new treatment strategies for various diseases.

Suggested Citation

  • Omar K. Pineda & Hyobin Kim & Carlos Gershenson, 2019. "A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks," Complexity, Hindawi, vol. 2019, pages 1-10, May.
    • Handle: RePEc:hin:complx:3728621
    DOI: 10.1155/2019/3728621
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    References listed on IDEAS

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    1. Terje Aven, 2015. "The Concept of Antifragility and its Implications for the Practice of Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 35(3), pages 476-483, March.
    2. Marco Villani & Luca La Rocca & Stuart Alan Kauffman & Roberto Serra, 2018. "Dynamical Criticality in Gene Regulatory Networks," Complexity, Hindawi, vol. 2018, pages 1-14, October.
    3. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
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