Flocking with random non-reciprocal interactions
Jiwon Choi, Jae Dong Noh, Heiko Rieger

TL;DR
This paper investigates how collective flocking behaviors emerge and persist in systems with random, nonreciprocal interactions among particles, revealing complex phases like chiral states and stable clusters.
Contribution
It introduces a Vicsek-like model with fully random nonreciprocal interactions, demonstrating the emergence of flocking, chiral, and oscillating states, and formation of self-organized clusters.
Findings
Ordered flocking occurs when alignment bias matches random interactions.
Random interactions support global chiral and oscillating states.
Self-organized medium-sized clusters form without alignment bias.
Abstract
Flocking is ubiquitous in nature and emerges due to short- or long-range alignment interactions among self-propelled agents. Two unfriendly species that antialign or even interact nonreciprocally show more complex collective phenomena, ranging from parallel and antiparallel flocking over run-and-chase behavior to chiral phases. Whether flocking or any of these collective phenomena can survive in the presence of a large number of species with random nonreciprocal interactions remained elusive so far. As a first step here, the extreme case of a Vicsek-like model with fully random nonreciprocal interactions between the individual particles is considered. For infinite-range interaction, as soon as the alignment bias is of the same order as the random interactions, the ordered flocking phase occurs, but deep within this phase, the random nonreciprocal interactions can still support global…
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Taxonomy
TopicsMicro and Nano Robotics · Distributed Control Multi-Agent Systems · Modular Robots and Swarm Intelligence
