Hearing the shape of a chemical reactor with a deep network of swarms
Résumé
Biological swarms-from the simplest bacteria to large populations-compute the solution of geometrical problems for their growth and survival. In order to engineer synthetic swarms, it is of interest to understand how biological swarms relate space and time to sense their geometry. Here we propose a swarm architecture that senses the shape of its environment, using agents that form Turing patterns as "sonar", and neural-like layers to process those Turing patterns and find the shape of reactor that generate them.
Origine | Fichiers produits par l'(les) auteur(s) |
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