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Ant collective cognition allows for efficient navigation through disordered environments

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Academic year: 2021

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Figure 1: Motion within a maze. (a) Setup for cube maze experiments. Overlaid are the load trajectory (blue), shortest path for the load (red) and shortest path for ants (magenta)
Figure 2: Ant vs. simulation performances. (a) Heat map of trajectories of 200 simulation iterations over an example maze (brighter colors signify more visits, cubes are drawn in white)
Figure 3: Simulation and ant performance near traps. (a) Logarithmic heat map showing the spread of ants while the load is located near the top of a deep triangular trap (extracted from 23 minutes of footage)
Figure 4: Efficiency of logarithmic range extended sensing. (a) The fraction of cubes which belong to dif- dif-ficult traps, out of the total number of cubes in the system, as a function of mean coverage of the cube maze.

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