Perspectives on adaptive dynamical systems published in Chaos

Adaptivity across different scientific disciplines (blue) and applications (yellow) as well as its strong inter- linking and interlocking, similar to a system of gears.
(Image by the Authors of the manuscript)
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
Chaos 33, 071501 (2023)
doi: 10.1063/5.0147231
arXiv: 2303.01459

Adaptivity is a dynamical feature that is omnipresent in nature, socio-economics, and technology. For example, adaptive couplings appear in various real-world systems like 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.

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