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This repository contains the source code for a paper titled "Stability of defection, optimisation of strategies and the limits of memory in the Prisoner's Dilemma".

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Nikoleta-v3/Memory-size-in-the-prisoners-dilemma

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Stability of defection, optimisation of strategies and the limits of memory in the Prisoner's Dilemma.

Authors: @Nikoleta-v3 @drvinceknight

This repository contains the source code for a paper titled "Stability of defection, optimisation of strategies and the limits of memory in the Prisoner's Dilemma".

Software

A conda environment specifying all versions of libraries used is given in environment.yml. To create and activate this environment run:

$ conda env create -f environment.yml
$ source activate opt-mo

The source code for this work have been packaged under the name opt-mo. Install the source code by running the following command (ensure that you have activated the environment):

$ python setup.py install

The package has been tested with pytest. To test run:

$ sh test.sh

The entire analysis described in the paper can be found in nbs/.

The software is released under an MIT license.

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This repository contains the source code for a paper titled "Stability of defection, optimisation of strategies and the limits of memory in the Prisoner's Dilemma".

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