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. 2013 Dec 12;8(12):e80814. doi: 10.1371/journal.pone.0080814

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© 2013 Zagorsky et al

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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In all panels, the simulations start from a randomly chosensome random point in the -simplex. In the cases of , , and , the evolutionary trajectories converge to a cooperative alliance of many strategies dominated by the strategy Forgiver. In the case of , the evolutionary trajectories converge to a mixed equilibrium of Forgiver, TFT, and Grim. The error rate is set to %, the number of rounds per game is , and the mutation rate is .

Inline graphic — In all panels, the simulations start from a randomly chosensome random point in the -simplex. In the cases of , , and , the evolutionary trajectories converge to a cooperative alliance of many strategies dominated by the strategy Forgiver. In the case of , the evolutionary trajectories converge to a mixed equilibrium of Forgiver, TFT, and Grim. The error rate is set to %, the number of rounds per game is , and the mutation rate is .