2022
DOI: 10.21203/rs.3.rs-2293295/v1
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Contextually Aware Intelligent Control Agents for Heterogeneous Swarms

Abstract: An emerging challenge in swarm shepherding research is to design effective and efficient artificial intelligence algorithms that maintain a low-computational ceiling while increasing the swarm's abilities to operate in diverse contexts. We propose a methodology to design a context-aware swarm-control intelligent agent. The intelligent control agent (shepherd) first uses swarm metrics to recognise the type of swarm it interacts with to then select a suitable parameterisation from its behavioural library for tha… Show more

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