Evolution Reinforces Cooperation with the Emergence of Self-Recognition Mechanisms: an empirical study of the Moran process for the iterated Prisoner's dilemma using reinforcement learning

This is a paper giving an extensive numerical analysis of fixation probabilities of the Moran processes where the fitness landscape is determined by the Iterated Prisoner's Dilemma.

This directory is structured as follows:

|--- main.tex  # The main article file
|---tex  # Further tex files
     |--- bibliography.bib
     |--- moran_process.tex
|---src  # All python source files used to generate the data
     |--- generate_cache.py
     |--- ...?
|---nbs  # All jupyter notebooks for the analysis of data
     |--- main.ipynb
|---data  # All data files
|---img  # All image files
environment.yml  # a conda environment file

Building the article:

The following compiles the article using Latexmk version 4.41:

$ latexmk --xelatex main.tex

The bibliography is being built using biblatex which requires biber, that comes bundled with some installs of latex but if you are having problems you might need to run (on ubuntu, similarly for other systems):

$ sudo apt-get install biber

Contributions

• Conceived of the study: MH VK
• Conducted experiments and trained strategies: VK MH NG
• Analyzed the data and analytical methods: VK MH
• Wrote the paper: VK MH NG
• Created software: MH VK
• Axelrod Library Core Team: VK OC MH