Perspectives on adaptive dynamical systems

Jakub Sawicki; Rico Berner; Sarah A.M. Loos; Mehrnaz Anvari; Rolf Bader; Wolfram Barfuss; Nicola Botta; Nuria Brede; Igor Franović; Daniel J. Gauthier; Sebastian Goldt; Aida Hajizadeh; Philipp Hövel; Omer Karin; Philipp Lorenz-Spreen; Christoph Miehl; Jan Mölter; Simona Olmi; Eckehard Schöll; Alireza Seif; Peter A. Tass; Giovanni Volpe; Serhiy Yanchuk; Jürgen Kurths

doi:10.1063/5.0147231

Perspectives on adaptive dynamical systems

Jakub Sawicki
, Rico Berner
, Sarah A.M. Loos
, Mehrnaz Anvari
, Rolf Bader
, Wolfram Barfuss
, Nicola Botta
, Nuria Brede
, Igor Franović
, Daniel J. Gauthier
, Sebastian Goldt
, Aida Hajizadeh
, Philipp Hövel
, Omer Karin
, Philipp Lorenz-Spreen
, Christoph Miehl
, Jan Mölter
, Simona Olmi
, Eckehard Schöll
, Alireza Seif

Peter A. Tass, Giovanni Volpe, Serhiy Yanchuk, Jürgen Kurths

Potsdam Institute for Climate Impact Research
University of Applied Sciences Northwestern Switzerland
Humboldt University of Berlin
University of Cambridge
Fraunhofer Institute for Algorithms and Scientific Computing
University of Hamburg
University of Bonn
Chalmers University of Technology
University of Potsdam
University of Belgrade
Ohio State University
LLC
International School for Advanced Studies
Leibniz Institute for Neurobiology
Saarland University
Imperial College London
Max Planck Institute for Human Development
Max Planck Institute for Brain Research
Technical University of Munich
National Research Council of Italy
National Institute for Nuclear Physics
Technical University of Berlin
The University of Chicago

Research output: Contribution to journal › Review article › peer-review

Abstract

Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear in various real-world systems, such as the power grid, social, and neural networks, and they form the backbone of closed-loop control strategies and machine learning algorithms. In this article, we provide an interdisciplinary perspective on adaptive systems. We reflect on the notion and terminology of adaptivity in different disciplines and discuss which role adaptivity plays for various fields. We highlight common open challenges and give perspectives on future research directions, looking to inspire interdisciplinary approaches.

Original language	English
Article number	071501
Journal	Chaos
Volume	33
Issue number	7
DOIs	https://doi.org/10.1063/5.0147231
Publication status	Published - 1 Jul 2023
Externally published	Yes

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10.1063/5.0147231

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Sawicki, J., Berner, R., Loos, S. A. M., Anvari, M., Bader, R., Barfuss, W., Botta, N., Brede, N., Franović, I., Gauthier, D. J., Goldt, S., Hajizadeh, A., Hövel, P., Karin, O., Lorenz-Spreen, P., Miehl, C., Mölter, J., Olmi, S., Schöll, E., ... Kurths, J. (2023). Perspectives on adaptive dynamical systems. Chaos, 33(7), Article 071501. https://doi.org/10.1063/5.0147231

@article{c881deb3dc074d30b5f7b48c70e2915c,

title = "Perspectives on adaptive dynamical systems",

abstract = "Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear in various real-world systems, such as the power grid, social, and neural networks, and they form the backbone of closed-loop control strategies and machine learning algorithms. In this article, we provide an interdisciplinary perspective on adaptive systems. We reflect on the notion and terminology of adaptivity in different disciplines and discuss which role adaptivity plays for various fields. We highlight common open challenges and give perspectives on future research directions, looking to inspire interdisciplinary approaches.",

author = "Jakub Sawicki and Rico Berner and Loos, \{Sarah A.M.\} and Mehrnaz Anvari and Rolf Bader and Wolfram Barfuss and Nicola Botta and Nuria Brede and Igor Franovi{\'c} and Gauthier, \{Daniel J.\} and Sebastian Goldt and Aida Hajizadeh and Philipp H{\"o}vel and Omer Karin and Philipp Lorenz-Spreen and Christoph Miehl and Jan M{\"o}lter and Simona Olmi and Eckehard Sch{\"o}ll and Alireza Seif and Tass, \{Peter A.\} and Giovanni Volpe and Serhiy Yanchuk and J{\"u}rgen Kurths",

note = "Publisher Copyright: {\textcopyright} 2023 Author(s).",

year = "2023",

month = jul,

day = "1",

doi = "10.1063/5.0147231",

language = "English",

volume = "33",

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issn = "1054-1500",

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Sawicki, J, Berner, R, Loos, SAM, Anvari, M, Bader, R, Barfuss, W, Botta, N, Brede, N, Franović, I, Gauthier, DJ, Goldt, S, Hajizadeh, A, Hövel, P, Karin, O, Lorenz-Spreen, P, Miehl, C, Mölter, J, Olmi, S, Schöll, E, Seif, A, Tass, PA, Volpe, G, Yanchuk, S & Kurths, J 2023, 'Perspectives on adaptive dynamical systems', Chaos, vol. 33, no. 7, 071501. https://doi.org/10.1063/5.0147231

TY - JOUR

T1 - Perspectives on adaptive dynamical systems

AU - Sawicki, Jakub

AU - Berner, Rico

AU - Loos, Sarah A.M.

AU - Anvari, Mehrnaz

AU - Bader, Rolf

AU - Barfuss, Wolfram

AU - Botta, Nicola

AU - Brede, Nuria

AU - Franović, Igor

AU - Gauthier, Daniel J.

AU - Goldt, Sebastian

AU - Hajizadeh, Aida

AU - Hövel, Philipp

AU - Karin, Omer

AU - Lorenz-Spreen, Philipp

AU - Miehl, Christoph

AU - Mölter, Jan

AU - Olmi, Simona

AU - Schöll, Eckehard

AU - Seif, Alireza

AU - Tass, Peter A.

AU - Volpe, Giovanni

AU - Yanchuk, Serhiy

AU - Kurths, Jürgen

PY - 2023/7/1

Y1 - 2023/7/1

N2 - Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear in various real-world systems, such as the power grid, social, and neural networks, and they form the backbone of closed-loop control strategies and machine learning algorithms. In this article, we provide an interdisciplinary perspective on adaptive systems. We reflect on the notion and terminology of adaptivity in different disciplines and discuss which role adaptivity plays for various fields. We highlight common open challenges and give perspectives on future research directions, looking to inspire interdisciplinary approaches.

AB - Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear in various real-world systems, such as the power grid, social, and neural networks, and they form the backbone of closed-loop control strategies and machine learning algorithms. In this article, we provide an interdisciplinary perspective on adaptive systems. We reflect on the notion and terminology of adaptivity in different disciplines and discuss which role adaptivity plays for various fields. We highlight common open challenges and give perspectives on future research directions, looking to inspire interdisciplinary approaches.

UR - https://www.scopus.com/pages/publications/85166550600

U2 - 10.1063/5.0147231

DO - 10.1063/5.0147231

M3 - Review article

C2 - 37486668

AN - SCOPUS:85166550600

SN - 1054-1500

VL - 33

JO - Chaos

JF - Chaos

IS - 7

M1 - 071501

ER -

Perspectives on adaptive dynamical systems

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