Abstract
Evolutionary robotics can be a powerful tool in studies on the evolutionary origins of self-organising behaviours in biological systems. However, these studies are viable only when the behaviour of the evolved artificial system closely corresponds to the one observed in biology, as described by available models. In this paper, we compare the behaviour evolved in a robotic system with the collegial decision making displayed by cockroaches in selecting a resting shelter. We show that artificial evolution can synthesise a simple self-organising behaviour for a swarm of robots, which presents dynamics that are comparable with the cockroaches behaviour.
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Francesca, G., Brambilla, M., Trianni, V., Dorigo, M., Birattari, M.: Analysing an evolved robotic behaviour using a biological model of collegial decision making: Complete data (2012), Supplementary information page at http://iridia.ulb.ac.be/supp/IridiaSupp2012-009/
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Francesca, G., Brambilla, M., Trianni, V., Dorigo, M., Birattari, M. (2012). Analysing an Evolved Robotic Behaviour Using a Biological Model of Collegial Decision Making. In: Ziemke, T., Balkenius, C., Hallam, J. (eds) From Animals to Animats 12. SAB 2012. Lecture Notes in Computer Science(), vol 7426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33093-3_38
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DOI: https://doi.org/10.1007/978-3-642-33093-3_38
Publisher Name: Springer, Berlin, Heidelberg
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