Literature DB >> 17320390

Evolutionary conditions for the emergence of communication in robots.

Dario Floreano1, Sara Mitri, Stéphane Magnenat, Laurent Keller.   

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.

Mesh:

Year:  2007        PMID: 17320390     DOI: 10.1016/j.cub.2007.01.058

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  26 in total

1.  Evolution of resistance to quorum quenching in digital organisms.

Authors:  Benjamin E Beckmann; David B Knoester; Brian D Connelly; Christopher M Waters; Philip K McKinley
Journal:  Artif Life       Date:  2012-06-04       Impact factor: 0.667

2.  Historical contingency affects signaling strategies and competitive abilities in evolving populations of simulated robots.

Authors:  Steffen Wischmann; Dario Floreano; Laurent Keller
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-03       Impact factor: 11.205

Review 3.  New insights into bacterial adaptation through in vivo and in silico experimental evolution.

Authors:  Thomas Hindré; Carole Knibbe; Guillaume Beslon; Dominique Schneider
Journal:  Nat Rev Microbiol       Date:  2012-03-27       Impact factor: 60.633

4.  Relatedness influences signal reliability in evolving robots.

Authors:  Sara Mitri; Dario Floreano; Laurent Keller
Journal:  Proc Biol Sci       Date:  2010-09-01       Impact factor: 5.349

Review 5.  Diversity, competition, extinction: the ecophysics of language change.

Authors:  Ricard V Solé; Bernat Corominas-Murtra; Jordi Fortuny
Journal:  J R Soc Interface       Date:  2010-06-30       Impact factor: 4.118

6.  Selection methods regulate evolution of cooperation in digital evolution.

Authors:  Pawel Lichocki; Dario Floreano; Laurent Keller
Journal:  J R Soc Interface       Date:  2013-10-23       Impact factor: 4.118

7.  The evolution of information suppression in communicating robots with conflicting interests.

Authors:  Sara Mitri; Dario Floreano; Laurent Keller
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-03       Impact factor: 11.205

Review 8.  Using artificial systems to explore the ecology and evolution of symbioses.

Authors:  Babak Momeni; Chi-Chun Chen; Kristina L Hillesland; Adam Waite; Wenying Shou
Journal:  Cell Mol Life Sci       Date:  2011-03-23       Impact factor: 9.261

Review 9.  Genes and social behavior.

Authors:  Gene E Robinson; Russell D Fernald; David F Clayton
Journal:  Science       Date:  2008-11-07       Impact factor: 47.728

10.  Evolution of adaptive behaviour in robots by means of Darwinian selection.

Authors:  Dario Floreano; Laurent Keller
Journal:  PLoS Biol       Date:  2010-01-26       Impact factor: 8.029

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