The emergence of cooperation by evolutionary generalization

Python code for the simulations in the paper "The emergence of cooperation by evolutionary generalization", published in the Proc. Royal Soc. B, 2021, by Félix Geoffroy and Jean-Baptiste André.

Running

To run a simulation, in a terminal, and in the code/ subfolder, type

$ python main.py

Results

The resulting text files are saved in the results/ subfolder. The two metrics files record the performance of players during the pre-selection and the selection phase. Additionally, the first two lines of these files contain all parameters used in the simulation. The two totalSet files contain the behavior of both players (on both the training and a test set) at the end of the pre-selection and the selection phase. Lastly, one can obtain a heatmap file by choosing HeatMapFile = True in Parameters.py. This file was used to produce Figure 5 of the article.

Versioning

The script is written in Python. The packages required to run this implementation and the versions on which they were tested on are:

• python=2.7.17
• numpy=1.13.3
• scipy=0.19.1

If more details are needed on the code, please contact the first author of the publication at felix.geoffroy.fr@gmail.com.