Title: Achieving cooperation with many prisoners in the NIPD

Authors: J. Enrique Agudo; Colin Fyfe

Addresses: University of Extremadura, Santa Teresa de Jornet, 38, 06800, Mérida, Spain ' Universidad de Burgos, Avenida de Cantabria, Burgos, Spain

Abstract: This paper discusses an empirical investigation into the N-person's iterated prisoners' dilemma (NIPD), a standard problem from game theory. We use both the cross entropy method and reinforcement learning and achieve cooperation with much greater sizes of population than we have previously been able to do with genetic algorithms and artificial immune systems. Our experimental results give some insight into the circumstances where cooperation might develop.

Keywords: iterated prisoners' dilemma; IPD; cross entropy; reinforcement learning; cooperation; many prisoners; game theory.

DOI: 10.1504/IJCSE.2016.074560

International Journal of Computational Science and Engineering, 2016 Vol.12 No.1, pp.3 - 16

Received: 10 Jul 2012
Accepted: 04 Mar 2013
Published online: 06 Feb 2016 *

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