Fiche du document
2007
- doi: 10.1016/j.cub.2007.01.058
- issn: 0960-9822
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cub.2007.01.058
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/17320390
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pissn/0960-9822
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_2261425DB8AD4
info:eu-repo/semantics/openAccess , Copying allowed only for non-profit organizations , https://serval.unil.ch/disclaimer
Mots-clés
Artificial Intelligence; Biological Evolution; Communication; Computer Simulation; RoboticsSujets proches
Communication, Primitive Mass communicationCiter ce document
D. Floreano et al., « Evolutionary conditions for the emergence of communication in robots. », Serveur académique Lausannois, ID : 10.1016/j.cub.2007.01.058
Métriques
Partage / Export
Résumé
Information transfer plays a central role in the biology of most organisms, particularly social species [1, 2]. Although the neurophysiological processes by which signals are produced, conducted, perceived, and interpreted are well understood, the conditions conducive to the evolution of communication and the paths by which reliable systems of communication become established remain largely unknown. This is a particularly challenging problem because efficient communication requires tight coevolution between the signal emitted and the response elicited [3]. We conducted repeated trials of experimental evolution with robots that could produce visual signals to provide information on food location. We found that communication readily evolves when colonies consist of genetically similar individuals and when selection acts at the colony level. We identified several distinct communication systems that differed in their efficiency. Once a given system of communication was well established, it constrained the evolution of more efficient communication systems. Under individual selection, the ability to produce visual signals resulted in the evolution of deceptive communication strategies in colonies of unrelated robots and a concomitant decrease in colony performance. This study generates predictions about the evolutionary conditions conducive to the emergence of communication and provides guidelines for designing artificial evolutionary systems displaying spontaneous communication.