A Mechanistic Model for Collective Motion from Sensorimotor Regularities
Vito Mengers, Bao Duc Cao, Oliver Brock

TL;DR
This paper introduces a sensorimotor-based mechanistic model for collective animal motion, grounded in biological perception and action, capable of reproducing diverse group behaviors.
Contribution
It presents a novel, biologically grounded model that explains collective motion through sensorimotor interactions rather than abstract forces.
Findings
Model reproduces polarized motion, milling, and subgroup fragmentation.
Behavioral transitions depend on sensorimotor parameters like field of view and sensory noise.
Sensitivity analysis links parameters to measurable biological quantities.
Abstract
Collective behavior in animals has long been modeled through self-propelled particle models, which reproduce striking group-level phenomena through abstract interaction forces. Yet these models are fundamentally descriptive: they leave open the question of how collective behavior is actually produced. Recent empirical work makes this gap concrete: locusts do not align with neighbors, sensory and cognitive mechanisms mediate interaction instead. A mechanistic model must therefore operate at the sensorimotor level, grounded in what individual organisms can actually perceive, estimate, and physically execute. We present such a model based on a modeling framework from robotics, extended here to collective motion. Each agent perceives neighbors through bearing and apparent-size cues within a limited field of view, maintains uncertain internal state estimates, and selects actions through…
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