Bayesian optimization of distributed neurodynamical controller models for spatial navigation

Dynamical systems models for controlling multi-agent swarms have demonstrated advances toward resilient, decentralized navigation algorithms. We previously introduced the NeuroSwarms controller, in which agent-based interactions were modeled by analogy to neuronal network interactions, including att...

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Detalles Bibliográficos
Autores principales: Hadzic, Armin, Hwang, Grace M., Zhang, Kechen, Schultz, Kevin M., Monaco, Joseph D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536152/
https://www.ncbi.nlm.nih.gov/pubmed/36213421
http://dx.doi.org/10.1016/j.array.2022.100218

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9536152/
https://www.ncbi.nlm.nih.gov/pubmed/36213421
http://dx.doi.org/10.1016/j.array.2022.100218

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