COLIBRI is concerned with the imminent far-reaching changes in our living environment. The aim is to provide science, business and politics with the necessary basis for sustainable decisions by focusing on understanding complex systems using modelling and computer simulations. The research results of the profile area are intended to drive innovation, applications, education and principles of coexistence.
The scientists at COLIBRI use analytical and computer-aided methods such as the theory of strategic interaction (game theory), network analysis, optimisation and reconstruction. Research is based on Statistical Physics, Differential Equations (ODE & PDE), Artificial Intelligence, Machine Learning, Natural Language Processing, Optimisation Algorithms, Scientific Computing, Robotics & Mechatronics, Network Theory and Formal Grammar.
Central questions include:
- The underlying properties of complex systems.
- The mandatory parameters required to maintain and enable the growth and change of such systems.
- The effects of superpositions of multiple systems and ways to control, influence or abuse them.
Focusing on complex systems, decision theory and evolutionary processes, COLIBRI researchers aim to uncover the underlying structures of interactions of various kinds by investigating a wide range of topics:
