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 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.
This work was partly supported by a European community grant given to the Leurre project under the IST Programme (2002-2005), contract FET-OPEN-IST-2001-35506 of the Future and Emerging Technologies arm and by the Programme Cognitique from the French Ministry of Scientific Research. The authors would like to thank Jean-Louis Deneubourg for all its very helpful advices about this work.
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References
Agassounon, W., Martinoli, A.: A macroscopic model of an aggregation experiment using embodied agents in groups of time-varying sizes. In: Proceedings of the 2002 IEEE Systems, Man and Cybernetics Conference, Hammamet, Tunisia. IEEE Press, Los Alamitos (2002)
Ame, J.-M., Rivault, C., Deneubourg, J.-L.: Cockroach aggregation based on strain odour recognition. Animal Behaviour 68(4), 793–801 (2004)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm intelligence: from natural to artificial systems. Oxford University Press, Oxford (1999)
Camazine, S., Deneubourg, J.L., Franks, N.R., Sneyd, J., Theraulaz, G., Bonabeau, E.: Self-organization in biological systems. Princeton University Press, Princeton (2001)
Caprari, G., Estier, T., Siegwart, R.: Fascination of down scaling – Alice the sugar cube robot. Journal of Micromechatronics 1(3), 177–189 (2002)
Deneubourg, J.L., Lioni, A., Detrain, C.: Dynamics of aggregation and emergence of cooperation. Biological Bulletin 202(3), 262–267 (2002)
Grassé, P.-P.: La reconstruction du nid et les coordinations inter-individuelles chez Bellicositermes Natalensis et Cubitermes sp. La théorie de la stigmergie: essai d’interprétation du comportement des termites constructeurs. Insectes sociaux 6, 41–81 (1959)
Holland, O., Melhuish, C.: Stigmergy, self-organisation, and sorting in collective robotics. Artificial Life 5, 173–202 (1999)
Jeanson, R., Blanco, S., Fournier, R., Deneubourg, J.L., Fourcassié, V., Theraulaz, G.: A model of animal movements in a bounded space. Journal of Theoretical Biology 225(4), 443–451 (2003)
Jeanson, R., Rivault, C., Deneubourg, J.-L., Blanco, S., Fournier, R., Jost, C., Theraulaz, G.: Self-organized aggregation in cockroaches. Animal Behaviour 69(1), 169–180 (2005)
Ledoux, A.: Étude experimentale du grégarisme et de l’interattraction sociale chez les Blattidés. Annales des Sciences Naturelles Zoologie et Biologie Animale 7, 76–103 (1945)
Martinoli, A., Mondada, F.: Collective and cooperative group behaviours: biologically inspired experiments in robotics. In: Khatib, O., Salisbury, J.K. (eds.) Proceedings of the Fourth International Symposium on Experimental Robotics, June 1995, pp. 3–10. LNCIS, Stanford (1995)
R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria (2004) ISBN 3-900051-07-0
Rust, M.K., Owens, J.M., Reierson, D.A.: Understanding and controlling the german cockroach. Oxford University Press, Oxford (1995)
Şahin, E.: Swarm robotics: From sources of inspiration to domains of application. In: Şahin, E., Spears, W.M. (eds.) Swarm Robotics 2004. LNCS, vol. 3342, pp. 10–20. Springer, Heidelberg (2005)
Seeley, T.D., Camazine, S., Sneyd, J.: Collective decision-making in honey bees: how colonies choose among nectar sources. Behavioural Ecology and Sociobiology 28, 277–290 (1991)
Sugawara, K., Sano, M.: Cooperative acceleration of task performance: foraging behavior of interacting multi-robots system. Physica D: Nonlinear Phenomena 100(3/4), 343–354 (1997)
Wagner, I.A., Bruckstein, A.M.: Ant robotics. Annals of Mathematics and Artificial Intelligence 31, 1–238 (2001)
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Garnier, S. et al. (2005). Aggregation Behaviour as a Source of Collective Decision in a Group of Cockroach-Like-Robots. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds) Advances in Artificial Life. ECAL 2005. Lecture Notes in Computer Science(), vol 3630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553090_18
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DOI: https://doi.org/10.1007/11553090_18
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