Asynchrony promotes polarized collective motion in attraction based models

Abstract

Animal groups frequently move in a highly organized manner, as represented by flocks of birds and schools of fish. Despite being an everyday occurrence, we do not yet fully understand how this works. What type of social interactions between animals gives rise to the overall flock structure and behavior we observe? This question is often investigated using self-propelled particle models where particles represent the individual animals. These models differ in the social interactions used, individual particle properties, and various technical assumptions. One particular technical assumption relates to whether all particles update their headings and positions at exactly the same time (synchronous update) or not (asynchronous update). Here we investigate the causal effects of this assumption in a specific model and find that it has a dramatic impact. In particular, polarized groups do not form when synchronous update is used, but are always produced with asynchronous updates. We also show that full asynchrony is not required for polarized groups to form and quantify time to polarized group formation. Since many important models in the literature have been implemented with synchronous update only, we speculate that our understanding of these models, or rather the social interactions on which they are based, may be incomplete. Perhaps a range of previously unobserved dynamic phenomena will emerge if other potentially more realistic update schemes are chosen.

arXiv comment8 pages, 4 figures

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Cited by in corpus (5)

• Modelling collective motion based on the principle of agency
• Anticipation induces polarized collective motion in attraction based models
• Data-driven discovery of stochastic dynamical equations of collective motion
• An Alignment-Free Explanation for Collective Predator Evasion in Moving Animal Groups
• Randomness in the choice of neighbours promotes cohesion in mobile animal groups