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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...
Autores principales: | D’Addese, Gianluca, Sani, Laura, La Rocca, Luca, Serra, Roberto, Villani, Marco |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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