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.
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© 2003 Springer-Verlag Berlin Heidelberg
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Jenkins, T. (2003). A Noisy Way to Evolve Signaling Behaviour. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_48
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DOI: https://doi.org/10.1007/978-3-540-39432-7_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20057-4
Online ISBN: 978-3-540-39432-7
eBook Packages: Springer Book Archive