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Abstract

Artificial Life models have consistently implemented communication as an exchange of signals over dedicated and functionally isolated channels. I argue that such a feature prevents models from providing a satisfactory account of the origins of communication and present a model in which there are no dedicated channels. Agents controlled by neural networks and equipped with proximity sensors and wheels are presented with a co-ordinated movement task. It is observed that functional, but non-communicative, behaviours which evolve in the early stages of the simulation both make possible, and form the basis of, the communicative behaviour which subsequently evolves.

@inproceedings{quinn01evolvingCommunication,
  author={Matt Quinn},
  title={Evolving Communication without Dedicated Communication Channels},
  year={2001},
  month={September 10-14},
  pages={357-366},
  address={Prague},
  editor={J. Kelemen and P. Sosík},
  series={Lectures Notes in Computer Science},
  publisher={Springer},
  booktitle={ECAL01},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/quinn01evolvingCommunication.html}
}

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