Perspectives on adaptive dynamical systems
Review article, 2023
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
Potsdam Institute for Climate Impact Research
University of Applied Sciences and Arts Northwestern Switzerland
Rico Berner
Humboldt University of Berlin
Sarah A.M. Loos
University of Cambridge
Mehrnaz Anvari
Fraunhofer Institute for Algorithms and Scientific Computing SCAI
Potsdam Institute for Climate Impact Research
Rolf Bader
University of Hamburg
Wolfram Barfuss
University of Bonn
Nicola Botta
Chalmers, Computer Science and Engineering (Chalmers), Functional Programming
Potsdam Institute for Climate Impact Research
Nuria Brede
University of Potsdam
Potsdam Institute for Climate Impact Research
Igor Franović
University of Belgrade
D. J. Gauthier
Canton LLC
Ohio State University
Sebastian Goldt
Scuola Internazionale Superiore di Studi Avanzati
Aida Hajizadeh
Leibniz Institute for Neurobiology
Philipp Hövel
Universität des Saarlandes
Omer Karin
Imperial College London
Philipp Lorenz-Spreen
Max Planck Institute for Human Development
Christoph Miehl
Technical University of Munich
Max Planck Institute for Brain Research
Jan Mölter
Technical University of Munich
Simona Olmi
Istituto Dei Sistemi Complessi, Florence
INFN Sezione di Firenze
Eckehard Schöll
Humboldt University of Berlin
Potsdam Institute for Climate Impact Research
Technische Universität Berlin
Alireza Seif
Pritzker School of Molecular Engineering
Peter A. Tass
Stanford University
Giovanni Volpe
University of Gothenburg
Serhiy Yanchuk
Potsdam Institute for Climate Impact Research
Jürgen Kurths
Humboldt University of Berlin
Potsdam Institute for Climate Impact Research
Chaos
1054-1500 (ISSN) 1089-7682 (eISSN)
Vol. 33 7 071501Subject Categories
Social Sciences Interdisciplinary
DOI
10.1063/5.0147231
PubMed
37486668