Emergence is one of the most fascinating and challenging aspects of complex systems, being also a controversial topic featuring long-standing debates and disagreements. In this talk I’ll introduce a pluralistic and pragmatic stance towards emergence that embraces multiple views while focusing on methods to establish falsifiable hypotheses and procedures to verify them. This approach will be illustrated by exploring two distinct but complementary operationalisations of emergence: (i) self-contained levels of description and (ii) synergistic interactions between constituents. The talk will review the formalisms along side applications to neuroscience and AI safety.
Fernando Rosas is a lecturer at the University of Sussex and also an honorary research fellow at Imperial College London and the University of Oxford. He received the B.A. degree in music composition and minor degree in philosophy, the B.Sc. degree in mathematics, and the M.S. and Ph.D. degree in engineering sciences from the Pontificia Universidad Católica de Chile. He worked as postdoctoral researcher at KU Leuven (Belgium), the National Taiwan University (Taiwan), and Imperial College London (UK). Dr Rosas’ work includes contributions in mathematics, engineering, physics, and neuroscience. His work has been supported by the F+ Fellowship from KU Leuven University, the Marie Słodowska-Curie IF from the EU, the Fellowship of the ICCU of the University of Kent, and PIBBSS affiliateship, and the ARIA funding agency.