Perspectives on adaptive dynamical systems
Adaptation and Self-Organizing Systems
2023-09-27 v2
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 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.
Cite
@article{arxiv.2303.01459,
title = {Perspectives on adaptive dynamical systems},
author = {Jakub Sawicki and Rico Berner and Sarah A. M. Loos and Mehrnaz Anvari and Rolf Bader and Wolfram Barfuss and Nicola Botta and Nuria Brede and Igor Franović and Daniel J. Gauthier and Sebastian Goldt and Aida Hajizadeh and Philipp Hövel and Omer Karin and Philipp Lorenz-Spreen and Christoph Miehl and Jan Mölter and Simona Olmi and Eckehard Schöll and Alireza Seif and Peter A. Tass and Giovanni Volpe and Serhiy Yanchuk and Jürgen Kurths},
journal= {arXiv preprint arXiv:2303.01459},
year = {2023}
}
Comments
46 pages, 9 figures