Editorial: Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology With Implications for Artificial Intelligence

Journal article (2022)

Authors

Paul Bogdan University of Southern California
Plamen Ch Ivanov Brigham and Women's Hospital, Bulgarian Academy of Sciences, Boston University
S.D. Gonçalves Melo Pequito Team Sergio Pequito - Mechanical, Maritime and Materials Engineering
Research Group
Team Sergio Pequito (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2022 Paul Bogdan, Plamen Ch Ivanov, S.D. Gonçalves Melo Pequito
DOI
help_outline
https://doi.org/10.3389/fphys.2022.917001
Physiology Artificial Inteligence-AI Fractional-order dynamic models Multifractal networks Neuro-inspired artificial intelligence
More Info
expand_more

Published Date

2022

Language

English

Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Sergio Pequito

Abstract

Editorial on the Research Topic - Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology With Implications for Artificial Intelligence