Learning with neighbours Emergence of convention in a society of learning agents

@inproceedings{Mhlenbernd2011LearningWN,
  title={Learning with neighbours Emergence of convention in a society of learning agents},
  author={Roland M{\"u}hlenbernd},
  year={2011}
}
I present a game-theoretical multi-agent system to simulate the evolutionary process responsible for the pragmatic phenomenon division of pragmatic labour (DOPL), a linguistic convention emerging from evolutionary forces. Each agent is positioned on a toroid lattice and communicates via signaling games, where the choice of an interlocutor depends on the Manhattan distance between them. In this framework I compare two learning dynamics: reinforcement learning (RL) and belief learning (BL). An… CONTINUE READING
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