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

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...

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Main Authors: Omar K. Pineda, Hyobin Kim, Carlos Gershenson
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/3728621
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author Omar K. Pineda
Hyobin Kim
Carlos Gershenson
author_facet Omar K. Pineda
Hyobin Kim
Carlos Gershenson
author_sort Omar K. Pineda
collection DOAJ
description 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.
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spelling doaj-art-bd9a15a428ea4c38a9047895effcd2b62025-02-03T06:00:42ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/37286213728621A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean NetworksOmar K. Pineda0Hyobin Kim1Carlos Gershenson2Posgrado en Ciencia e Ingeniería de la Computación, Universidad Nacional Autónoma de México, 04510 CDMX, MexicoCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, 04510 CDMX, MexicoCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, 04510 CDMX, MexicoAntifragility 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.http://dx.doi.org/10.1155/2019/3728621
spellingShingle Omar K. Pineda
Hyobin Kim
Carlos Gershenson
A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks
Complexity
title A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks
title_full A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks
title_fullStr A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks
title_full_unstemmed A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks
title_short A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks
title_sort novel antifragility measure based on satisfaction and its application to random and biological boolean networks
url http://dx.doi.org/10.1155/2019/3728621
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