Evolutionary algorithms and Particle Swarm Optimization for artificial language evolution

@article{Bruyn2011EvolutionaryAA,
  title={Evolutionary algorithms and Particle Swarm Optimization for artificial language evolution},
  author={Kobus de Bruyn and Geoff S. Nitschke and Willem S. van Heerden},
  journal={2011 IEEE Congress of Evolutionary Computation (CEC)},
  year={2011},
  pages={2701-2708}
}
This paper reports upon two adaptive approaches for deriving words in an artificial language simulation. The efficacy of a Particle Swarm Optimization (PSO) method versus an Artificial Evolution (AE) method was examined for the purpose of adapting communication between agents. The objective of the study was for agents to derive a common (shared) lexicon for… CONTINUE READING