Head of Department

Géza Ódor

Tel: +(36-1)-392 2222 / 3660

E-mail: odor.geza@ek.hun-ren.hu 

Researchers in the Complex Systems Laboratory use the methods of statistical physics to investigate evolutionary game theoretic models and dynamic phenomena on various graphs. These models offer a general mathematical background to multidisciplinary research areas (biology, economics, behaviour research, surface growth, reaction-diffusion,… etc.). 

  • In evolutionary game theory they use mathematical models to pursue investigations to explore processes, strategies and relationship systems, developing between selfish individuals, which support cooperation advantageous for the community. Among the punitive strategies they have found variations that efficiently help the prevalence of a behaviour representing the common interest in spatial “Tragedy of the commons” games. Model studies also justified the communal usefulness of exchanging information that comes at a cost, if a sufficient number of players willing to sacrifice are present in the community.
  • In evolutionary game theoretic models depth analysis is based on the ability to decompose interactions described in matrix form into the linear combination of four basic games. Systematic investigation of the coordination components cast light on the existence of social trap situations which are similar to phase-changes known in solid-state physics.
  • They study the size and duration time distributions of avalanche-like failures in models developed for studying power grids and brain. Models, suitable to describe the spread of activity and synchronization are being used in synthetic and real modular networks to quantify the effects of the heterogeneity in networks of the critical dynamics of brain models.

https://www.energia.mta.hu/~szolnoki

https://www.energia.mta.hu/~odor

https://www.energia.mta.hu/~szabo

Our publications:

https://m2.mtmt.hu/gui2/?type=institutes&mode=browse&sel=institutes21866

Article summaries:

Spontaneous symmetry breaking of cooperation between species

Evolutionary dynamics of any multiplayer game on regular graphs

Revealing Footprints of Ancient Sources in Recent Eurasian and American Folk Music Cultures using PCA of the Culture-Dependent Moment Vectors of Shared Melody Types

A new linear combination method of haplogroup distribution central vectors to model population admixtures

Frustrated Synchronization of the Kuramoto Model on Complex Networks

Scale-free behavior of weight distributions of connectomes

Improving power-grid systems via topological changes or how can self-organized criticality help power-grids

Studying power-grid synchronization with incremental refinement of model heterogeneity

Quantitative comparison of power grid reinforcements

Orthogonal elementary interactions for bimatrix games

Derivation of potential for group interactions in evolutionary games

Entanglement of evolutionary game theory and statistical physics

The colleagues of the department:

Géza Ódor, DSc., Scientific advisor – Head of department

Attila Szolnoki DSc.,Scientific advisor

Sangita Dutta, PhD

Balázs Király, PhD

Kristóf Benedek, PhD student, Scientific fellow

Michelle T. Cirunay PhD, Scientific fellow

György Szabó DSc., (retired, Prof. Emeritius)