Flocking by stopping: a novel mechanism of emergent order in collective movement
Yogesh Kumar KC, Arshed Nabeel, Srikanth Iyer, and Vishwesha Guttal

TL;DR
This paper introduces a new model of collective movement where individuals stop upon encountering oppositely moving neighbors, leading to emergent flocking behavior through halting interactions, differing from traditional averaging or noise-based models.
Contribution
The paper proposes a novel 'flocking by stopping' mechanism based on halting interactions, expanding understanding of how order emerges in collective movement models.
Findings
Persistent collective order can emerge through halting interactions.
The model's predictions are validated with mean-field and individual-based simulations.
Stopped states enable new routes to order in collective movement.
Abstract
Collective movement is observed widely in nature, where individuals interact locally to produce globally ordered, coherent motion. In typical models of collective motion, each individual takes the average direction of multiple neighbors, resulting in ordered movement. In small flocks, noise induced order can also emerge with individuals copying only a randomly chosen single neighbor at a time. We propose a new model of collective movement, inspired by how real animals move, where individuals can move in two directions or remain stationary. We demonstrate that when individuals interact with a single neighbor through a novel form of halting interaction -- where an individual may stop upon encountering an oppositely moving neighbor rather than instantly aligning -- persistent collective order can emerge even in large populations. This represents a fundamentally different mechanism from…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Diffusion and Search Dynamics · stochastic dynamics and bifurcation
