Abstract
This paper aims to shed light on the benefits of the cognitive processes in the generation of emergent structures that allow the cognitive robots to succeed the objects’ aggregation task. In the multi-robot system, every robot uses local rules and an on-line building and learning of its own cognitive map. This fusion alters the positive impact of the individual behavior in the improvement of the overall system performance. A series of simulations and experiments allowed us to present and discuss the system.
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Chatty, A., Gaussier, P., Karaouzene, A., Bouzid, M., Kallel, I., Alimi, A.M. (2014). Coupling Learning Capability and Local Rules for the Improvement of the Objects’ Aggregation Task by a Cognitive Multi-Robot System. In: del Pobil, A.P., Chinellato, E., Martinez-Martin, E., Hallam, J., Cervera, E., Morales, A. (eds) From Animals to Animats 13. SAB 2014. Lecture Notes in Computer Science(), vol 8575. Springer, Cham. https://doi.org/10.1007/978-3-319-08864-8_28
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DOI: https://doi.org/10.1007/978-3-319-08864-8_28
Publisher Name: Springer, Cham
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