Simulation of Complex Systems
Much of modelling in the sciences focuses on simple models, highlighting key mechanisms using small sets of moving parts. However, in complex systems the interesting features are often a direct result of having large sets of particles or agents with different characteristics. This makes new tools a necessity. The course introduces simulation techniques frequently used in complex systems to handle models with many heterogeneous parts. Specifically, we will look at agent-based modelling, evolutionary game theory, cellular automata, and networks, with application to physics, biology and social science. We also learn how to validate the outcomes of simulation models in order to reach scientifically sound conclusions.
- Chalmers University of Technology
- Kolbjörn Tunström
- Modeling, Evolution, Game Theory, Cellular Automata, Networks, Physics, Biology, Social Science, Simulation