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A Noisy Way to Evolve Signaling Behaviour

  • Tudor Jenkins
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2801)

Abstract

This paper looks at the way signaling behaviour can arise within a population of evolving agents involved in complex task domains where problem-solving behaviours need to be developed and integrated with appropriate signaling strategies. A method is proposed to overcome the difficulties of evolving separate yet compatible parts required by transmitters and receivers that serve no function but communication. The validity of this method is supported by a series of experiments. These not only succeed in evolving agents capable of controlling and enhancing complex behaviours through signaling but also demonstrate how bigger search spaces with more signal channels than might be needed can lead to faster adaptation.

Keywords

Signaling Strategy Signal Channel Signaling Behaviour Initial Agent Signal Actuator 
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 2003

Authors and Affiliations

  • Tudor Jenkins
    • 1
  1. 1.School of Cognitive and Computer SciencesUniversity of SussexBrightonU.K.

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