@inproceedings{ECAL11swarm,
  author = "Richard Coates and Simon Hickinbotham",
  abstract = "Swarming is behaviour which emerges from the action of individual agents. Models of swarm behaviour impose fixed model parameters on the agents comprising the swarm. This paper evaluates the possibility of extracting the parameters of a swarm model from the swarm. This can be achieved by evolving the parameters of a single agent that interacts with the swarm. The approach was inspired by work on so-called ``robofish" by Faria et al. If we assume that the collective dynamics of wild animals can be modelled, it would be desirable to recover the dynamics of the model via interaction with them. We demonstrate that it is possible to recover the parameters of a shoaling model used by a swarm. We present an evaluation of this approach, using a genetic algorithm to drive the learning process. The experiments also reveal information about the effects of varying the parameters of the model on the emergent swarm dynamics.",
  title = "Recovering Hidden Swarm Parameters Using a Simulated Robofish",
  pages = "153-160",
  crossref = "ECAL11"
}

@proceedings{ECAL11,
  title = "ECAL 2011, Paris, France, August 2011",
  booktitle = "ECAL 2009, Paris, France, August 2011",
  series = "LNCS",
  publisher = "Springer",
  year = 2011
}