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A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks
Joint Authors
Gershenson, Carlos
Kim, Hyobin
Pineda, Omar K.
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Pineda, Omar K.& Kim, Hyobin& Gershenson, Carlos. 2019. A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks. Complexity،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1131516
Modern Language Association (MLA)
Pineda, Omar K.…[et al.]. A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks. Complexity No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1131516
American Medical Association (AMA)
Pineda, Omar K.& Kim, Hyobin& Gershenson, Carlos. A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks. Complexity. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1131516
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131516