Supplementary Material - Emergence of Transport Networks
This page contains supplementary material for the paper entitled: 'The Emergence
and Dynamical Evolution of Complex Transport Networks from Simple Low-Level
Behaviours'
The material consists of electronic versions of the paper figures.
Links (where underlined) to video recordings of the experiments in action are available.
Note: To view the lossless compressed video, the Techsmith CODEC may be required. This can be downloaded by clicking here.
Paper Figures:

Figure 1: Top-down vs. Bottom-up approaches to modelling of complex systems.

Figure 3: Emergence of a persistent dynamical network

Figure 4: Emergence of a dynamic equilibrium state with sensor angle of 45 degrees.
In text reference: Re-emergence of foraging state from stable state

Figure 5: Surface minimisation on fixed boundaries with adhesion in the corner areas.

Figure 6: Surface minimisation without adhesion

Figure 7: Initial aggregation caused by diffusion and chemotactic movement

Figure 8: Differences in agent flow at the inside and outside of a network path cause circular loop contraction.

Figure 9: Evolution of branching and streaming behaviour
when SA is 15 degrees.
(see the above re-emergence
video) for streaming and anastomosis

Figure 10: Network length problem datasets
Dots represent parts of landscape where diffusive trail is introduced at the
network nodes.
Figure 11: Network minimisation by filamentous shrinkage on 2, 3, 6 and 7 node networks.
1 - Two
points
2
- Triangle (experiment repeated 3 times)
3 - Domino 6 points
4 - Seven points
Figure 12: Incorrect minimisation of network using filamentous shrinkage.
Figure 13: Network collapse when network node sources are removed
Figure 14: Network minimisation using filamentous foraging approach
1 - Three
Points
2 - Six Points
3 - Seven Points
Figure 15: Evolution of the plasmodial shrinkage method.
(Dark spots indicate node diffusion points. Small flecks indicate dynamic fluctuations
in the density of the trail 'sheet'.)
1 - Three
Points
2 - Nested Hexagons
3 - Four x Four Grid
4 - Seven Points
Figure 16: Approximation of concave hull and TSP tour using plasmodial shrinkage.
1
- Cross Pattern of 12 Nodes
2 - Ten Nodes Perimeter
Figure 17: Cyclic and erroneous minimisation and dynamic remodelling
Top Row:
Erroneous network minimisation using filamentous condensation with cycles formed
(columns 1-3). Erroneous
minimisation of 64 regular nodes using plasmodial shrinkage caused by instabilities
in the deforming sheet (Column 4)
Bottom Row:
Continuous
network remodelling by foraging behaviour in filamentous condensation.
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Material (c) Jeff Jones 2008
