We present in this work some extended results to those originally published in [8], when we simulated the Iterated n-Player Prisoner’s Dilemma in a sequential computer. In [12], we presented a solution to parallel agent-based simulations where agents need to interact with all its neighbours in a von Neumann neighbourhood, aiming to improve the usage of computational resources. By using such parallel techniques, we could better study the effect of several additional parameters of the Iterated n-Player Prisoner’s Dilemma simulation, like the grid dimension and the error rate.
CITATION STYLE
Queiroz, D., & Sichman, J. (2016). Parallel simulations of the iterated n-player prisoner’s dilemma. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9568, pp. 87–105). Springer Verlag. https://doi.org/10.1007/978-3-319-31447-1_6
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