Perspectives on adaptive dynamical systems
File(s)
Published version
Author(s)
Type
Journal Article
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.
Date Issued
2023-07-01
Date Acceptance
2023-05-24
Citation
CHAOS, 2023, 33 (7)
ISSN
1054-1500
Publisher
AIP Publishing
Journal / Book Title
CHAOS
Volume
33
Issue
7
Copyright Statement
© 2023 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001036947900004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
COORDINATED RESET
DEEP-BRAIN-STIMULATION
DEMAND-SIDE MANAGEMENT
EVOLUTIONARY GAME-THEORY
Mathematics
Mathematics, Applied
PARKINSONS-DISEASE
Physical Sciences
Physics
Physics, Mathematical
ROBUST PERFECT ADAPTATION
Science & Technology
SUBTHALAMIC NUCLEUS
TERM SYNAPTIC PLASTICITY
TIMING-DEPENDENT PLASTICITY
TIPPING ELEMENTS
Publication Status
Published
Coverage Spatial
United States
Article Number
071501
Date Publish Online
2023-07-24