On the evolution of adaptable and scalable mechanisms for collective decision-making in a swarm of robots
Author:
Funder
CERUNA fellowship offered by the University of Namur
SPW Beware fellowship by the Wallonian Region
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11721-023-00233-4.pdf
Reference49 articles.
1. Alkilabi, M. H. M., Narayan, A., & Tuci, E. (2017). Cooperative object transport with a swarm of e-puck robots: Robustness and scalability of evolved collective strategies. Swarm Intelligence, 11(3), 185–209.
2. Almansoori, A., Alkilabi, M., Colin, J.-N., & Tuci, E. (2021). On the evolution of mechanisms for collective decision making in a swarm of robots. In J. Schneider, M. Weyland, D. Flumini, & R. F uchslin (Eds.), Proceedings of the XV Italian workshop on artificial life and evolutionary computation (WIVACE) (pp. 109–120). Springer.
3. Almansoori, A., Alkilabi, M., & Tuci, E. (2023). Supplementary material mechanisms for collective decision-making in a swarm of robots. Zenodo. Retrieved from https://doi.org/10.5281/zenodo.8356331.
4. Bartashevich, P., & Mostaghim, S. (2019). Benchmarking collective perception: New task difficulty metrics for collective decision-making. In P. Moura Oliveira, P. Novais, & L. Reis (Eds.), Proceedings of the 19th EPIA conference on artificial intelligence (EPIA) (pp. 699–711). Springer.
5. Bartashevich, P., & Mostaghim, S. (2021). Multi-featured collective perception with evidence theory: Tackling spatial correlations. Swarm Intelligence, 15(1), 83–110.
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