Recruiting beneficiary: Medical University Vienna, Austria
Internal supervisors: Dr. Rudolf Hanel, Dr. Peter Klimek
Brief project description: We will study systems of entities playing iterated games (e.g. tagged zero-determinant games) typically phrased as systems of differential equations. In particular we focus on social dilemma games as models of self-organised regulatory networks and on how respective dynamical properties, such as the number, type, and stability of attractors depend on topological properties of the underlying regulatory network. To study such interrelations we build on information theoretic strategies and a proven dynamical systems framework based on a statistical ensemble approach inspired by random matrix theory. Studying how features such as modularity or the prevalence of link signs (+/-) influence the resilience and dynamics of adaptive systems translates to potentials that govern the evolutionary emergence of sustainable context sensitive regulatory strategies and networks both on microscopic (genetic/chemical reaction networks) and macroscopic scales (eco-systems).
Delft University of Technology
Faculty of Technology, Policy and Management
Building 31
Jaffalaan 5
2628 BX Delft
The Netherlands
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the
Marie Skłodowska-Curie grant agreement number 955708.