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Evolving Communication without Dedicated Communication Channels

  • Matt Quinn
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2159)

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.

Keywords

Collision Avoidance Communicative Behaviour Life Model Proximity Sensor Ballistic Behaviour 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Matt Quinn
    • 1
  1. 1.Centre for Computational Neuroscience and RoboticsUniversity of SussexBrightonUK

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