Abstract
This study compares two different evolutionary approaches to the design of homogeneous multi-robot teams in a task that requires the agents to specialise in different roles. Our results diverge from what illustrated in a previous similar comparative study, which advocates for the superiority of the aclonal versus the clonal approach. We question this argument in view of new empirical evidence showing that the two approaches perform equally well in generating homogeneous teams.
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References
Ampatzis, C., Tuci, E., Trianni, V., Christensen, A.L., Dorigo, M.: Evolving self-assembly in autonomous homogeneous robots: Experiments with two physical robots. Artificial Life 15(4), 465–484 (2009)
Beer, R.D., Gallagher, J.C.: Evolving dynamic neural networks for adaptive behavior. Adaptive Behavior 1(1), 91–122 (1992)
Floreano, D., Mitri, S., Magnenat, S., Keller, L.: Evolutionary conditions for the emergence of communication in robots. Current Biology 17, 514–519 (2007)
Jakobi, N.: Evolutionary robotics and the radical envelope of noise hypothesis. Adaptive Behavior 6, 325–368 (1997)
Nolfi, S.: EvoRob 1.1 User Manual. Institute of Psychology, National Research Council (CNR) (2000), http://gral.ip.rm.cnr.it/evorobot/simulator.html
Nolfi, S., Floreano, D.: Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-organising Machine. MIT Press, Cambridge (2001)
Parker, L.: Springer Handbook of Robotics, ch. 40. Springer, Berlin (2008)
Quinn, M.: A comparison of approaches to the evolution of homogeneous multi/robot teams. In: Proceedings of the International Conference on Evolutionary Computation (CEC), vol. 1, pp. 128–135 (2001)
Trianni, V., Nolfi, S.: Engineering the evolution of self-organizing behaviors in swarm robotics: A case study. Artifcial Life 17(3), 183–202 (2011)
Tuci, E.: An investigation of the evolutionary origin of reciprocal communication using simulated autonomous agents. Biological Cybernetics 101(3), 183–199 (2009)
Waibel, M., Keller, L., Floreano, D.: Genetic team composition and level of selection in the evolution of cooperation. IEEE Transaction of Evolutionary Computation 13(3), 648–660 (2009)
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Tuci, E., Trianni, V. (2012). On the Evolution of Homogeneous Multi-robot Teams: Clonal versus Aclonal Approach. In: Ziemke, T., Balkenius, C., Hallam, J. (eds) From Animals to Animats 12. SAB 2012. Lecture Notes in Computer Science(), vol 7426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33093-3_39
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DOI: https://doi.org/10.1007/978-3-642-33093-3_39
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