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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Language: | English |
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Wiley
2019-01-01
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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. |
format | Article |
id | doaj-art-bd9a15a428ea4c38a9047895effcd2b6 |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
record_format | Article |
series | Complexity |
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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