Asymptotic Information-Theoretic Detection of Dynamical Organization in Complex Systems

The identification of emergent structures in complex dynamical systems is a formidable challenge. We propose a computationally efficient methodology to address such a challenge, based on modeling the state of the system as a set of random variables. Specifically, we present a sieving algorithm to na...

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Detalles Bibliográficos
Autores principales: D’Addese, Gianluca, Sani, Laura, La Rocca, Luca, Serra, Roberto, Villani, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066289/
https://www.ncbi.nlm.nih.gov/pubmed/33801637
http://dx.doi.org/10.3390/e23040398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066289/
https://www.ncbi.nlm.nih.gov/pubmed/33801637
http://dx.doi.org/10.3390/e23040398

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