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Perspectives on adaptive dynamical systems.

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Title: Perspectives on adaptive dynamical systems.
Authors: Sawicki, Jakub, Berner, Rico, Loos, Sarah A. M., Anvari, Mehrnaz, Bader, Rolf, Barfuss, Wolfram, Botta, Nicola, Brede, Nuria, Franović, Igor, Gauthier, Daniel J., Goldt, Sebastian, Hajizadeh, Aida, Hövel, Philipp, Karin, Omer, Lorenz-Spreen, Philipp, Miehl, Christoph, Mölter, Jan, Olmi, Simona, Schöll, Eckehard, Seif, Alireza
Source: Chaos; Jul2023, Vol. 33 Issue 7, p1-42, 42p
Subject Terms: Dynamical systems, Machine learning, Electric power distribution grids, Athletic fields, Learning strategies, Dynamics
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. [ABSTRACT FROM AUTHOR]
Copyright of Chaos is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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PubType: Academic Journal
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  Data: Chaos; Jul2023, Vol. 33 Issue 7, p1-42, 42p
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  Data: <searchLink fieldCode="DE" term="%22Dynamical+systems%22">Dynamical systems</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br /><searchLink fieldCode="DE" term="%22Athletic+fields%22">Athletic fields</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+strategies%22">Learning strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamics%22">Dynamics</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Chaos is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=169709208
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        Value: 10.1063/5.0147231
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        Text: English
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        Type: general
      – SubjectFull: Electric power distribution grids
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      – SubjectFull: Athletic fields
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      – SubjectFull: Learning strategies
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              Text: Jul2023
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