From Global Flocking to Local Clustering: Interplay between Velocity Alignment and Visual Perception of Active Particles
Mohit Gaur, Arnab Saha, and Subhajit Paul

TL;DR
This study investigates how limited visual perception influences collective behavior in active particles, revealing a transition from global flocking to local clustering driven by non-reciprocal interactions and noise levels.
Contribution
It introduces a minimal model incorporating non-reciprocal, vision-cone-based interactions into the Vicsek framework, demonstrating how perception constraints affect collective dynamics.
Findings
Reduced vision angle leads to local clustering instead of global flocking.
Clustering behavior scales with time and system parameters, indicating emergent density structures.
High noise and narrow vision suppress both order and clustering.
Abstract
Collective behavior in biological systems was first captured by the Vicsek model, in which particles align their velocities in the average direction of neighbors, leading to coherent motion and showing an order-disorder transition. However, in many complex environments, the interactions are non-reciprocal, lacking an action-reaction symmetry. Using framework of the Vicsek model, we implement non-reciprocity by restricting interactions to neighbors located inside a finite vision cone, for a particle by limiting its set of interacting neighbors which fall within a vision-cone, providing a minimal description for cognitive perception. Using detailed numerical simulations, we explore the clustering and flocking behavior due to competition between noise and limited visual perception in the presence of alignment interaction. For low noise, with reduction in the vision angle the system shows…
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Taxonomy
TopicsDiffusion and Search Dynamics · Micro and Nano Robotics · stochastic dynamics and bifurcation
