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Collective Animal Behavior

Collective Animal Behavior. Ariana Strandburg-Peshkin. Boids - Craig Reynolds (1986). Separation - Steer to avoid collisions. Alignment - Steer towards average heading of flockmates. Cohesion - Steer towards average position of flockmates. Boids. Neighborhood: Distance and Angle.

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Collective Animal Behavior

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  1. Collective Animal Behavior Ariana Strandburg-Peshkin

  2. Boids - Craig Reynolds (1986) Separation - Steer to avoid collisions Alignment - Steer towards average heading of flockmates Cohesion - Steer towards average position of flockmates

  3. Boids Neighborhood: Distance and Angle

  4. “Self-Propelled Particle” Model (Vicsek & Csahok) • Triangular Lattice - L x L sites, periodic boundary conditions, N particles • Particles have position and velocity, updated at each time step • Multiple particles can occupy one lattice point

  5. SPP Model - Rules • Choose new velocity based on sum of nearby neighbors • If multiple particles at one spot, one follows rule above, others choose a random velocity (to reduce effects of multiple occupancy - diffuse away) • All particles advance one lattice unit in direction of velocity Z - normalizing B - 1/T

  6. SPP Model - Results Order Parameter, m - average velocity Sharp Transition, Disorder --> Order Depends on density

  7. Locusts!! Swarms - Can cover up to 1200 sq. km 40 - 80 billion locusts per sq. km Can travel 100 - 200 km per day Solitary --> Gregarious --> Hopping “bands” --> flying “swarms”

  8. Locusts - Empirical Study (Buhl et. al.) • Effect of density on alignment (order) of locusts • Filmed locusts in ring-shaped arena (for 8 hours!) and tracked position and orientation • Compared to a related SPP model

  9. Locust Model vs. Empirical D = 1.2 D = 4.5 D = 19.1 D = 1.4 D = 4.9 D = 19.2

  10. Couzin - “Swarming” Model zor > zoo = zoa “Desired direction” Turning rate Noise

  11. Parameters and Measurements Group Polarization (Alignment) Angular Momentum (Rotation about the center)

  12. “Swarm” p = low m = low + & - little o “Torus” p = low m = high small Ro large Ra “Dynamic Parallel Group” p = high m = low medium Ro medium Ra “Highly Parallel Group” p=very high m = low large Ro medium Ra Text

  13. Individual Variations Affect Location in Group

  14. A Collective Memory?

  15. Sources • Buhl, J., Sumpter, D.J.T., Couzin, I.D., Hale, J., Despland, E., Miller, E. & Simpson, S.J. (2006) From disorder to order in marching locusts Science 312, 1402-1406 • Couzin, I.D., Krause, J., James, R., Ruxton, G.D. & Franks, N.R. (2002) Collective memory and spatial sorting in animal groups Journal of Theoretical Biology 218, 1-11 • Csahok, Z. & Vicsek, T. (1995). Lattice gas model for collective biological motion Physical Review E Vol. 52 No. 5 • Reynolds, C. W. (1987). Flocks, herds, and schools: a distributed behavioral model Computer Graphics Vol. 21 No. 4

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