Swarm Characteristics Classification Using Neural Networks

arXiv:2403.19572v1 Announce Type: new
Abstract: Understanding the characteristics of swarming autonomous agents is critical for defense and security applications. This article presents a study on using supervised neural network time series classification (NN TSC) to predict key attributes and tactics of swarming autonomous agents for military contexts. Specifically, NN TSC is applied to infer two binary attributes - communication and proportional navigation - which combine to define four mutually exclusive swarm tactics. We identify a gap in literature on using …

abstract agents applications article arxiv autonomous autonomous agents classification cs.lg defense key military network networks neural network neural networks security series study swarming tactics time series type understanding