The Optional Prisoner's Dilemma in a Spatial Environment: Coevolving Game Strategy and Link Weights
Marcos Cardinot, Colm O'Riordan, Josephine Griffith
2016
Abstract
In this paper, the Optional Prisoner’s Dilemma game in a spatial environment, with coevolutionary rules for both the strategy and network links between agents, is studied. Using a Monte Carlo simulation approach, a number of experiments are performed to identify favourable configurations of the environment for the emergence of cooperation in adverse scenarios. Results show that abstainers play a key role in the protection of cooperators against exploitation from defectors. Scenarios of cyclic competition and of full dominance of cooperation are also observed. This work provides insights towards gaining an in-depth understanding of the emergence of cooperative behaviour in real-world systems.
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in Harvard Style
Cardinot M., O'Riordan C. and Griffith J. (2016). The Optional Prisoner's Dilemma in a Spatial Environment: Coevolving Game Strategy and Link Weights . In Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2016) ISBN 978-989-758-201-1, pages 86-93. DOI: 10.5220/0006053900860093
in Bibtex Style
@conference{ecta16,
author={Marcos Cardinot and Colm O'Riordan and Josephine Griffith},
title={The Optional Prisoner's Dilemma in a Spatial Environment: Coevolving Game Strategy and Link Weights},
booktitle={Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2016)},
year={2016},
pages={86-93},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006053900860093},
isbn={978-989-758-201-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 8th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2016)
TI - The Optional Prisoner's Dilemma in a Spatial Environment: Coevolving Game Strategy and Link Weights
SN - 978-989-758-201-1
AU - Cardinot M.
AU - O'Riordan C.
AU - Griffith J.
PY - 2016
SP - 86
EP - 93
DO - 10.5220/0006053900860093