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.

Perspectives on adaptive dynamical systems / Sawicki, J.; Berner, R.; Loos, S. A. M.; Anvari, M.; Bader, R.; Barfuss, W.; Botta, N.; Brede, N.; Franovic, I.; Gauthier, D. J.; Goldt, S.; Hajizadeh, A.; Hovel, P.; Karin, O.; Lorenz-Spreen, P.; Miehl, C.; Molter, J.; Olmi, S.; Scholl, E.; Seif, A.; Tass, P. A.; Volpe, G.; Yanchuk, S.; Kurths, J.. - In: CHAOS. - ISSN 1054-1500. - 33:7(2023), pp. 1-42. [10.1063/5.0147231]

Perspectives on adaptive dynamical systems

Goldt S.;
2023-01-01

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.
2023
33
7
1
42
071501
Sawicki, J.; Berner, R.; Loos, S. A. M.; Anvari, M.; Bader, R.; Barfuss, W.; Botta, N.; Brede, N.; Franovic, I.; Gauthier, D. J.; Goldt, S.; Hajizadeh, A.; Hovel, P.; Karin, O.; Lorenz-Spreen, P.; Miehl, C.; Molter, J.; Olmi, S.; Scholl, E.; Seif, A.; Tass, P. A.; Volpe, G.; Yanchuk, S.; Kurths, J.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11767/135775
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