Cargando…
Collective foraging of active particles trained by reinforcement learning
Collective self-organization of animal groups is a recurring phenomenon in nature which has attracted a lot of attention in natural and social sciences. To understand how collective motion can be achieved without the presence of an external control, social interactions have been considered which reg...
Autores principales: | Löffler, Robert C., Panizon, Emanuele, Bechinger, Clemens |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564893/ https://www.ncbi.nlm.nih.gov/pubmed/37816879 http://dx.doi.org/10.1038/s41598-023-44268-3 |
Ejemplares similares
-
Formation of stable and responsive collective states in suspensions of active colloids
por: Bäuerle, Tobias, et al.
Publicado: (2020) -
Dynamics and risk sharing in groups of selfish individuals
por: Monter, Samuel, et al.
Publicado: (2023) -
Pile-up transmission and reflection of topological defects at grain boundaries in colloidal crystals
por: Cao, Xin, et al.
Publicado: (2020) -
Self-organization of active particles by quorum sensing rules
por: Bäuerle, Tobias, et al.
Publicado: (2018) -
Reinforcement Learning Enables Resource Partitioning in Foraging Bats
por: Goldshtein, Aya, et al.
Publicado: (2020)