From Function Approximation to Swarm Dynamics
DOI:
https://doi.org/10.15837/ijccc.2026.6.7537Keywords:
Function approximation, swarm dynamics, least squares optimization, multi-agent systems, gradient descentAbstract
We show that an interesting and important problem of design of dynamics for mobile agents in a swarm is nicely addressed via mean-square-integrated-loss optimization for function approximation in a context of mixture modeling.
References
M. Amir, Y. Koifman, Y. Bloch, A. Barel, and A. M. Bruckstein, "Multi-agent distributed and decentralized geometric task allocation," in 2023 62nd IEEE Conference on Decision and Control (CDC), pp. 8355-8362, IEEE, Dec. 2023. https://doi.org/10.1109/CDC49753.2023.10383740
Y. Koifman, A. Barel, and A. M. Bruckstein, "Distributed and decentralized control and task allocation for flexible swarms," May 2024. arXiv:2405.13941.
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