This repository hold results for tournaments made possible by the Axelrod-Project python library.
The mean utility of each player.
The pair wise utilities of each player.
The evolutionary dynamic of the strategies (based on the utilities).
The number of wins of each player.
The payoff differences for each player.
The difference of payoffs between pairs of players.
Here is a file with the payoff matrix.
Here is a file with the summary data.
The mean utility of each player.
The pair wise utilities of each player.
The evolutionary dynamic of the strategies (based on the utilities).
The number of wins of each player.
The payoff differences for each player.
The difference of payoffs between pairs of players.
Here is a file with the payoff matrix.
Here is a file with the summary data.
The mean utility of each player.
The pair wise utilities of each player.
The evolutionary dynamic of the strategies (based on the utilities).
The number of wins of each player.
The payoff differences for each player.
The difference of payoffs between pairs of players.
Here is a file with the payoff matrix.
Here is a file with the summary data.
To reproduce these results you will need to install the axelrod
library:
$ pip install axelrod
To reproduce these results run:
python run_noisy.py # Run the noisy tournament
python run_std.py # Run the standard tournament
python run_probend.py # Run the probabilistic ending tournament
You can also run all three tournaments (in series):
python run_all.py
Note that this uses the installed version of the axelrod library. If you want to keep things tidy you can create a virtualenv and install the latest version of the library like so:
$ virtualenv env
$ source env/bin/activate
$ python -m pip install git+https://github.com/Axelrod-Python/Axelrod@master
If you have the Axelrod repository locally you can also run:
$ python -m pip install path_to_axelrod
If you have already installed axelrod you can add the [-U]{.title-ref}
tag to update to the latest version of master:
$ python -m pip install git+https://github.com/Axelrod-Python/Axelrod@master -U
or:
$ python -m pip install path_to_axelrod -U