title: Evolutionary conditions for the emergence of communication in robots.
abstract: 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.
authors.affiliation: Laboratory of Intelligent Systems, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
authors.forename: Dario
authors.initials: D
authors.lastname: Floreano
authors.forename: Sara
authors.initials: S
authors.lastname: Mitri
authors.forename: Stéphane
authors.initials: S
authors.lastname: Magnenat
authors.forename: Laurent
authors.initials: L
authors.lastname: Keller
mesh_terms: D001185:Artificial Intelligence; D005075:Biological Evolution; D003142:Communication; D003198:Computer Simulation; D012371:Robotics