PSO approaches to coevolve IPD strategies

@article{Franken2004PSOAT,
  title={PSO approaches to coevolve IPD strategies},
  author={Nelis Franken and Andries Petrus Engelbrecht},
  journal={Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)},
  year={2004},
  volume={1},
  pages={356-363 Vol.1}
}
This paper investigates two different approaches using particle swarm optimisation (PSO) to evolve strategies for iterated prisoner's dilemma (IPD). Strategies evolved by the lesser known binary PSO algorithm are compared to strategies evolved by neural networks that were trained using PSO. Evolved strategies are compared against well-known game theory… CONTINUE READING