What is it about?

Information propagates in natural swarms without distortion which enables the swarm to perform superfluid-like low distortion maneuvers, for instance parallel turns to evade predators in starling flocks. On the other hand, wave-like superfluidic information transfer does not suppress high-frequency noise. This paper presents a model which shows that self-reinforcement using already available neighbor information can lead to low distortion information propagation in swarm networks while suppressing noise.

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Why is it important?

Current neighbor-based models for engineered swarm networks, dealing with applications such as autonomous drone formations and vehicle networks, do not predict superfluid-type information transfer observed in natural swarms. This paper provides a model for the superfluid-type information transfer in natural swarms, with potential applications in engineered networks.

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This page is a summary of: Low-distortion information propagation with noise suppression in swarm networks, Proceedings of the National Academy of Sciences, March 2023, Proceedings of the National Academy of Sciences, DOI: 10.1073/pnas.2219948120.
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