This is an implementation of the paper Evolutionary games and spatial chaos
You can look into file environment.yml for package dependencies that you can automatically
install using:
conda env create -f environment.yml
You can run a simulation when you are under folder source by calling file simulate.py and providing the appropriate flags.
For example
python simulate.py --project test --grid_length 50 --init_coop 0.8 --rounds 1000
will run a simulation with a grid-world of size 50x50 for 1000 rounds starting with 80% of the population being a cooperator.
Images, videos and data files will be saved under a newly created directory projects/test.
To get the fractal patterns that the Spatial Prisoner's Dilemma produces when its dynamics are chaotic you can run:
python simulate.py --project chaos_test --benefit 1.9 --grid_length 50 --init_coop 0.99 --inter_per_round 1 --rounds 100
Reducing the grid size will drastically reduce computation time.