Complexity Measurements and Causation for Dynamic Complex Systems

This book examines the problems of causal determinism and limited completeness in systems theory.

Juan G. Diaz Ochoa is a physicist and entrepreneur with an interest in the fundamental aspects of complex systems, philosophy and innovation. Aside from studying astrophysics at the National Observatory of Colombia (rotating neutron stars in non-Newtonian approximations), Juan G. Diaz Ochoa obtained his PhD at the University of Mainz in theoretical physics and condensed matter, specifically molecular dynamics of polymer melts, where he completed his doctorate in physics within Professor Binder's group.

After different stations, including the Max Planck Institute for complex technical systems, he moved to industry, worked with different companies and founded his own enterprises in the field of biomedicine. He is also a lecturer in mathematics and algorithms and complexity at DHBW in Stuttgart and a member of various societies, including the German Physical Society and DECHEMA.

In recent years, he has explored fundamental questions regarding systems theory and biology and has made efforts to develop mathematical methods applied to various complex systems, from condensed matter to biomedicine. He has been involved in the development of novel mathematical concepts and artificial intelligence algorithms applied to medicine, with a focus on transparent artificial intelligence architectures, graph knowledge, topological machine learning and language models. He is also actively working on ethical issues in machine learning and artificial intelligence and coedited an article collection on transparent machine learning in medicine.