Print Email Facebook Twitter Editorial: Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology With Implications for Artificial Intelligence Title Editorial: Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology With Implications for Artificial Intelligence Author Bogdan, Paul (University of Southern California) Ivanov, Plamen Ch (Boston University; Brigham and Women's Hospital; Bulgarian Academy of Sciences) Gonçalves Melo Pequito, S.D. (TU Delft Team Sergio Pequito) Date 2022 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 Subject artificial Inteligence-AIfractional-order dynamic modelsmultifractal networksneuro-inspired artificial intelligencephysiology To reference this document use: http://resolver.tudelft.nl/uuid:4e6d07e7-c474-4283-87ea-956f4a0be668 DOI https://doi.org/10.3389/fphys.2022.917001 Source Frontiers in Physiology, 13 Part of collection Institutional Repository Document type contribution to periodical Rights © 2022 Paul Bogdan, Plamen Ch Ivanov, S.D. Gonçalves Melo Pequito Files PDF fphys_13_917001.pdf 647.07 KB Close viewer /islandora/object/uuid:4e6d07e7-c474-4283-87ea-956f4a0be668/datastream/OBJ/view