Aggregation behaviour as a source of collective decision in a group of cockroach-like-robots

Simon Garnier, Christian Jost, Raphaël Jeanson, Jacques Gautrais, Masoud Asadpour, Gilles Caprari, Guy Theraulaz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Scopus citations

Abstract

In group-living animals, aggregation favours interactions and information exchanges between individuals, and thus allows the emergence of complex collective behaviors. In previous works, a model of a self-enhanced aggregation was deduced from experiments with the cockroach Blaltella germamca. In the present work, this model was implemented in micro-robots Alice and successfully reproduced the agregation dynamics observed in a group of cockroaches. We showed that this aggregation process, based on a small set of simple behavioral rules of interaction, can be used by the group of robots to select collectively an aggregation site among two identical or different shelters. Moreover, we showed that the aggregation mechanism allows the robots as a group to "estimate" the size of each shelter during the collective decision-making process, a capacity which is not explicitly coded at the individual level.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages169-178
Number of pages10
DOIs
StatePublished - 2005
Externally publishedYes
Event8th European Conference on Advances in Artificial Life, ECAL 2005 - Canterbury, United Kingdom
Duration: Sep 5 2005Sep 9 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3630 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th European Conference on Advances in Artificial Life, ECAL 2005
Country/TerritoryUnited Kingdom
CityCanterbury
Period9/5/059/9/05

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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