Cognitive swarming in complex environments with attractor dynamics and oscillatory computing.

ABSTRACT: Neurobiological theories of spatial cognition developed with respect to recording data from relatively small and/or simplistic environments compared to animals' natural habitats. It has been unclear how to extend theoretical models to large or complex spaces. Complementarily, in autonomous systems technology, applications have been growing for distributed control methods that scale to large numbers of low-footprint mobile platforms. Animals and many-robot groups must solve common problems of navigating complex and uncertain environments. Here, we introduce the NeuroSwarms control framework to investigate whether adaptive, autonomous swarm control of minimal artificial agents can be achieved by direct analogy to neural circuits of rodent spatial cognition. NeuroSwarms analogizes agents to n

SUBMITTER: Monaco JD 

PROVIDER: S-EPMC7183509 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature