Science Advances

Supplementary Materials

This PDF file includes:

  • Section S1. Trajectory model
  • Section S2. Trajectory model—External field
  • Section S3. Turning rate, noise, and curvature
  • Section S4. Theoretical approach
  • Section S5. Crowd-anticrowd theory
  • Fig. S1. Portion of trajectories in runs for different values of m, q, and δ for a target at (0, 104), an initial location at (0, 0), and an initial direction θ = π/2.
  • Fig. S2. Complete trajectories for a close reaching target.
  • Fig. S3. Trajectories of runs of d0 time steps for different values of m (N = 101 and s = 2) when there is a drift of velocity of (0, −0.1), (0, 0.1), (0.1, 0), and (−0.1, 0).
  • Fig. S4. Turning rates and noise effects for a collection of model trajectories with different parameters.
  • Fig. S5. Curvature distribution calculations for our navigational model 1 and the larva organism.
  • Fig. S6. Sum of covariance ( C and C2) calculated from simulation data as a function of memory m.
  • Fig. S7. Schematics representation of the matrix Ψ for m = 2 and s = 2 in the Reduced Strategy Space (RSS).
  • Fig. S8. Crowd-anticrowd theory against numerical simulations for the model organism as a function of the agent capability m, for N = 101 agents, s = 2, and δ = π/2N.
  • Table S1. Statistical similarity between the curvature distribution of the larva organism and our model 1 using the KS test.

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