Relatedness influences signal reliability in evolving robots.

Détails

Ressource 1Télécharger: BIB_6513C7F1894B.P001.pdf (550.76 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_6513C7F1894B
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Relatedness influences signal reliability in evolving robots.
Périodique
Proceedings of the Royal Society B Biological Sciences
Auteur(s)
Mitri S., Floreano D., Keller L.
ISSN
1471-2954[electronic], 0962-8452[linking]
Statut éditorial
Publié
Date de publication
2011
Peer-reviewed
Oui
Volume
278
Numéro
1704
Pages
378-383
Langue
anglais
Résumé
Communication is an indispensable component of animal societies, yet many open questions remain regarding the factors affecting the evolution and reliability of signalling systems. A potentially important factor is the level of genetic relatedness between signallers and receivers. To quantitatively explore the role of relatedness in the evolution of reliable signals, we conducted artificial evolution over 500 generations in a system of foraging robots that can emit and perceive light signals. By devising a quantitative measure of signal reliability, and comparing independently evolving populations differing in within-group relatedness, we show a strong positive correlation between relatedness and reliability. Unrelated robots produced unreliable signals, whereas highly related robots produced signals that reliably indicated the location of the food source and thereby increased performance. Comparisons across populations also revealed that the frequency for signal production-which is often used as a proxy of signal reliability in empirical studies on animal communication-is a poor predictor of signal reliability and, accordingly, is not consistently correlated with group performance. This has important implications for our understanding of signal evolution and the empirical tools that are used to investigate communication.
Mots-clé
evolution, communication, reliability, robots, relatedness, kin selection
Pubmed
Web of science
Open Access
Oui
Création de la notice
29/07/2010 18:37
Dernière modification de la notice
20/08/2019 15:21
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