Data di Pubblicazione:
2023
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 approache
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
single neuron adaptation; Earth system's climate adaptation; complex systems; control and optimization problems; Perception and Neural Adaptivity; Adaptivity and Artificial Learning; Adaptivity in Socio-Economic System
Elenco autori:
Olmi, Simona
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