Axelrod-Python/axelrod-moran

Name: axelrod-moran

Owner: Axelrod-Python

Description: null

Created: 2016-04-16 21:33:31.0

Updated: 2016-10-15 19:52:03.0

Pushed: 2018-04-18 15:54:04.0

Homepage: null

Size: 522950

Language: Jupyter Notebook

GitHub Committers

User	Most Recent Commit	# Commits

Other Committers

User	Email	Most Recent Commit	# Commits

README

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
ronment.yml  # a conda environment file

Building the article:

The following compiles the article using Latexmk version 4.41:

texmk --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):

do 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