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Article Dans Une Revue Lecture Notes in Artificial Intelligence Année : 2005

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

Résumé

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 Blattella germanica. 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.

Dates et versions

hal-00351828 , version 1 (11-01-2009)

Identifiants

Citer

Simon Garnier, Christian Jost, Raphael Jeanson, Masoud Asadpour, Gilles Caprari, et al.. Aggregation behaviour as a source of collective decision in a group of cockroach-like-robots. Lecture Notes in Artificial Intelligence, 2005, 3630, pp.169-178. ⟨10.1007/11553090⟩. ⟨hal-00351828⟩
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