Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Evolutionary Conditions for the Emergence of Communication in Robots
 
Loading...
Thumbnail Image
research article

Evolutionary Conditions for the Emergence of Communication in Robots

Floreano, Dario  
•
Mitri, Sara  
•
Magnenat, Stéphane  
Show more
2007
Current Biology

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.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

florenoetal_preprint.pdf

Access type

openaccess

Size

280.99 KB

Format

Adobe PDF

Checksum (MD5)

2e52f3203254254d1596b34bebbd71bd

Loading...
Thumbnail Image
Name

onlineSupp.pdf

Access type

openaccess

Size

284.34 KB

Format

Adobe PDF

Checksum (MD5)

029bdbe47e9d2458c87785e55c382fc9

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés