This Focus Issue focuses on topics of complex systems, in particular, we will be interested in complexity and machine learning (ML), from the point of view of physics and mathematics. While complexity has been studied for decades, only in the recent decade have ML methods complemented statistical analysis.
The collection will gather the contributions of leading scientists who delineate the state of the art in areas influenced by complexity and machine learning. The authors will make a special effort to write high-level papers with an introduction that is general enough to reach a broad audience and introduce people outside their fields to their research.
Topics covered include, but are not limited to:
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Machine learning and mathematics & physics
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Complexity
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Complex systems
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Networks
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Econophysics
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Data-driven modeling of dynamical systems
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Information theory
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Active matter
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Social dynamics
Guest Editors
Orazio Descalzi, Universidad de los Andes, Chile
Jaime Cisternas, Universidad de los Andes, Chile
Sergio Curilef, Universidad Católica del Norte, Antofagasta, Chile
Luisberis Velazquez, Universidad Católica del Norte, Antofagasta, Chile
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