1. Flock2: A model for orientation-based social flocking.
- Author
-
Hoetzlein RC
- Subjects
- Animals, Flight, Animal physiology, Starlings physiology, Orientation physiology, Behavior, Animal physiology, Birds physiology, Orientation, Spatial physiology, Computer Simulation, Social Behavior, Models, Biological
- Abstract
The aerial flocking of birds, or murmurations, has fascinated observers while presenting many challenges to behavioral study and simulation. We examine how the periphery of murmurations remain well bounded and cohesive. We also investigate agitation waves, which occur when a flock is disturbed, developing a plausible model for how they might emerge spontaneously. To understand these behaviors a new model is presented for orientation-based social flocking. Previous methods model inter-bird dynamics by considering the neighborhood around each bird, and introducing forces for avoidance, alignment, and cohesion as three dimensional vectors that alter acceleration. Our method introduces orientation-based social flocking that treats social influences from neighbors more realistically as a desire to turn, indirectly controlling the heading in an aerodynamic model. While our model can be applied to any flocking social bird we simulate flocks of starlings, Sturnus vulgaris, and demonstrate the possibility of orientation waves in the absence of predators. Our model exhibits spherical and ovoidal flock shapes matching observation. Comparisons of our model to Reynolds' on energy consumption and frequency analysis demonstrates more realistic motions, significantly less energy use in turning, and a plausible mechanism for emergent orientation waves., Competing Interests: Declaration of competing interest I declare that I have no known competing financial interests or personal relationships that could have influenced the work reported in this article. I declare that I have no financial or non-financial interests which may be considered as a conflict of interest with this work. This work was developed as independent research without external funding., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2024
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