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This code accompanies 'Corruption Drives the Emergence of Civil Society' by Abdullah et al (2013).

The code estimates the transition matrix between strategies (described in the paper) playing a public goods game from which the stationary distribution is calculated using the power iteration method. Finally a phase diagram is plotted as a function of B (or any other arbitrary parameter).

The method is based on 'Social Learning promotes Institutions for Governing the Commons' Sigmund et al, Nature 2010.

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Requires NumPy, SciPy and Matplotlib

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Code to accompany the paper 'Corruption Drives the Emergence of Civil Society' by Abdallah et al (http://arxiv.org/abs/1307.6646)

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