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Abstract

Antifragility characterizes the benefit of a dynamical system derived from the variability in environmental perturbations. Antifragility carries a precise definition that quantifies a system’s output response to input variability. Systems may respond poorly to perturbations (fragile) or benefit from perturbations (antifragile). In this manuscript, we review a range of applications of antifragility theory in technical systems (e.g., traffic control, robotics) and natural systems (e.g., cancer therapy, antibiotics). While there is a broad overlap in methods used to quantify and apply antifragility across disciplines, there is a need for precisely defining the scales at which antifragility operates. Thus, we provide a brief general introduction to the properties of antifragility in applied systems and review relevant literature for both natural and technical systems’ antifragility. We frame this review within three scales common to technical systems: intrinsic (input–output nonlinearity), inherited (extrinsic environmental signals), and induced (feedback control), with associated counterparts in biological systems: ecological (homogeneous systems), evolutionary (heterogeneous systems), and interventional (control). We use the common noun in designing systems that exhibit antifragile behavior across scales and guide the reader along the spectrum of fragility–adaptiveness–resilience–robustness–antifragility, the principles behind it, and its practical implications.

Details

Title
Antifragility in complex dynamical systems
Author
Axenie, Cristian 1 ; López-Corona, Oliver 2   VIAFID ORCID Logo  ; Makridis, Michail A. 3   VIAFID ORCID Logo  ; Akbarzadeh, Meisam 4 ; Saveriano, Matteo 5 ; Stancu, Alexandru 6 ; West, Jeffrey 7   VIAFID ORCID Logo 

 Nuremberg Institute of Technology Georg Simon Ohm, Department of Computer Science and Center for Artificial Intelligence, Nuremberg, Germany 
 Universidad Nacional Autónoma de México (UNAM), Ciudad Universitaria, Investigadores por México (IxM) at Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS), CDMX, Mexico (GRID:grid.9486.3) (ISNI:0000 0001 2159 0001) 
 Institute for Transport Planning and Systems (IVT), ETH Zurich, Switzerland (GRID:grid.5801.c) (ISNI:0000 0001 2156 2780) 
 Isfahan University of Technology, Department of Transportation Engineering, Isfahan, Iran (GRID:grid.411751.7) (ISNI:0000 0000 9908 3264) 
 University of Trento, Department of Industrial Engineering, Trento, Italy (GRID:grid.11696.39) (ISNI:0000 0004 1937 0351) 
 The University of Manchester, Department of Electrical and Electronic Engineering, Manchester, UK (GRID:grid.5379.8) (ISNI:0000 0001 2166 2407) 
 H. Lee Moffitt Cancer Center & Research Institute, Department of Integrated Mathematical Oncology, Tampa, USA (GRID:grid.468198.a) (ISNI:0000 0000 9891 5233) 
Pages
12
Publication year
2024
Publication date
Dec 2024
Publisher
Nature Publishing Group
e-ISSN
27318753
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3225841868
Copyright
Copyright Nature Publishing Group Dec 2024