Literature DB >> 19805224

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

Sara Mitri1, Dario Floreano, Laurent Keller.   

Abstract

Reliable information is a crucial factor influencing decision-making and, thus, fitness in all animals. A common source of information comes from inadvertent cues produced by the behavior of conspecifics. Here we use a system of experimental evolution with robots foraging in an arena containing a food source to study how communication strategies can evolve to regulate information provided by such cues. The robots could produce information by emitting blue light, which the other robots could perceive with their cameras. Over the first few generations, the robots quickly evolved to successfully locate the food, while emitting light randomly. This behavior resulted in a high intensity of light near food, which provided social information allowing other robots to more rapidly find the food. Because robots were competing for food, they were quickly selected to conceal this information. However, they never completely ceased to produce information. Detailed analyses revealed that this somewhat surprising result was due to the strength of selection on suppressing information declining concomitantly with the reduction in information content. Accordingly, a stable equilibrium with low information and considerable variation in communicative behaviors was attained by mutation selection. Because a similar coevolutionary process should be common in natural systems, this may explain why communicative strategies are so variable in many animal species.

Entities:  

Year:  2009        PMID: 19805224      PMCID: PMC2747196          DOI: 10.1073/pnas.0903152106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  17 in total

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Authors:  Etienne Danchin; Luc-Alain Giraldeau; Thomas J Valone; Richard H Wagner
Journal:  Science       Date:  2004-07-23       Impact factor: 47.728

2.  Why animals lie: how dishonesty and belief can coexist in a signaling system.

Authors:  Jonathan T Rowell; Stephen P Ellner; H Kern Reeve
Journal:  Am Nat       Date:  2006-11-02       Impact factor: 3.926

3.  Evolutionary conditions for the emergence of communication in robots.

Authors:  Dario Floreano; Sara Mitri; Stéphane Magnenat; Laurent Keller
Journal:  Curr Biol       Date:  2007-02-22       Impact factor: 10.834

4.  The maintenance of genetic variability by mutation in a polygenic character with linked loci.

Authors:  R Lande
Journal:  Genet Res       Date:  1975-12       Impact factor: 1.588

5.  Comparing evolvability and variability of quantitative traits.

Authors:  D Houle
Journal:  Genetics       Date:  1992-01       Impact factor: 4.562

Review 6.  Self-organization, embodiment, and biologically inspired robotics.

Authors:  Rolf Pfeifer; Max Lungarella; Fumiya Iida
Journal:  Science       Date:  2007-11-16       Impact factor: 47.728

7.  Efficacy and honesty in communication between relatives.

Authors:  R A Johnstone
Journal:  Am Nat       Date:  1998-07       Impact factor: 3.926

8.  Spatial-concentration effects and the importance of local enhancement in the evolution of colonial breeding in seabirds.

Authors:  N J Buckley
Journal:  Am Nat       Date:  1997-06       Impact factor: 3.926

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Authors:  W D Hamilton
Journal:  J Theor Biol       Date:  1964-07       Impact factor: 2.691

10.  Information constraints and the precision of adaptation: sex ratio manipulation in wasps.

Authors:  David M Shuker; Stuart A West
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-06       Impact factor: 11.205

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  15 in total

1.  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

2.  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

3.  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

4.  Dynamics of deceptive interactions in social networks.

Authors:  Rafael A Barrio; Tzipe Govezensky; Robin Dunbar; Gerardo Iñiguez; Kimmo Kaski
Journal:  J R Soc Interface       Date:  2015-11-06       Impact factor: 4.118

5.  Effects of deception in social networks.

Authors:  Gerardo Iñiguez; Tzipe Govezensky; Robin Dunbar; Kimmo Kaski; Rafael A Barrio
Journal:  Proc Biol Sci       Date:  2014-09-07       Impact factor: 5.349

6.  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

7.  Signalling and the evolution of cooperative foraging in dynamic environments.

Authors:  Colin J Torney; Andrew Berdahl; Iain D Couzin
Journal:  PLoS Comput Biol       Date:  2011-09-22       Impact factor: 4.475

8.  Implications of behavioral architecture for the evolution of self-organized division of labor.

Authors:  A Duarte; E Scholtens; F J Weissing
Journal:  PLoS Comput Biol       Date:  2012-03-22       Impact factor: 4.475

9.  Cooperation creates selection for tactical deception.

Authors:  Luke McNally; Andrew L Jackson
Journal:  Proc Biol Sci       Date:  2013-05-15       Impact factor: 5.349

10.  Evolution of Self-Organized Task Specialization in Robot Swarms.

Authors:  Eliseo Ferrante; Ali Emre Turgut; Edgar Duéñez-Guzmán; Marco Dorigo; Tom Wenseleers
Journal:  PLoS Comput Biol       Date:  2015-08-06       Impact factor: 4.475

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