Inspired by Gross et al. (2015; Scientific Reports) and Sigmund et al. (2010; Nature), this code is about allowing every possible strategy to evolve in a public goods game, where strategies involve both a decision about cooperating/defecting in the PGG, and also who to vote for in a pool of punishers based upon their punishment criteria.
Strategies and punishment rules are encoded as Boolean expressions, which means that I can automatically enumerate the strategies and punishment rules and determine who gets punished and by how many points.
A recent paper -- Garcia and Traulsen (2019; J. R. Soc. Interface) -- contains some similar ideas to what I was aiming for.
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