Advances in Mathematics and Physics: from Complexity to Machine Learning

This Special Topic 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:

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

Miguel Fuentes, Santa Fe Institute, USA