English

Simulation of an Optional Strategy in the Prisoner's Dilemma in Spatial and Non-spatial Environments

Computer Science and Game Theory 2016-08-18 v1 Multiagent Systems Neural and Evolutionary Computing Adaptation and Self-Organizing Systems

Abstract

This paper presents research comparing the effects of different environments on the outcome of an extended Prisoner's Dilemma, in which agents have the option to abstain from playing the game. We consider three different pure strategies: cooperation, defection and abstinence. We adopt an evolutionary game theoretic approach and consider two different environments: the first which imposes no spatial constraints and the second in which agents are placed on a lattice grid. We analyse the performance of the three strategies as we vary the loner's payoff in both structured and unstructured environments. Furthermore we also present the results of simulations which identify scenarios in which cooperative clusters of agents emerge and persist in both environments.

Keywords

Cite

@article{arxiv.1608.05044,
  title  = {Simulation of an Optional Strategy in the Prisoner's Dilemma in Spatial and Non-spatial Environments},
  author = {Marcos Cardinot and Maud Gibbons and Colm O'Riordan and Josephine Griffith},
  journal= {arXiv preprint arXiv:1608.05044},
  year   = {2016}
}

Comments

12 pages, 8 figures. International Conference on the Simulation of Adaptive Behavior