Evolutionary conditions for the emergence of communication in robots.

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Serval ID
serval:BIB_2261425DB8AD
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Evolutionary conditions for the emergence of communication in robots.
Journal
Current Biology
Author(s)
Floreano D., Mitri S., Magnenat S., Keller L.
ISSN
0960-9822 (Print)
ISSN-L
0960-9822
Publication state
Published
Issued date
2007
Peer-reviewed
Oui
Volume
17
Number
6
Pages
514-519
Language
english
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.
Keywords
Artificial Intelligence, Biological Evolution, Communication, Computer Simulation, Robotics
Pubmed
Web of science
Open Access
Yes
Create date
24/01/2008 19:38
Last modification date
20/08/2019 13:59
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