1. Self-Organization and Templates in Swarm Computing
Chapter 5 of Swarm Computing
Presented by Qing Cao
11/21/2018

2. Overview The behavior of biological colonies Self-organization Process
The function of templates
Two models in biological world
Applications and Inspirations to
computer science
11/21/2018

3. Biological Colonies
We will focus on the behavior of large colonies, such as termites, ants, etc.
In this presentation, we will model their building behavior. For example, we study how worker termites build chamber around the queen termite.
11/21/2018

4. Termite a termite building
11/21/2018

5. Self-Organization Process
Large clusters grow larger and they are more attractive.
The same rule applies to the building of the walls. The ants deposit more where there are more deposits already.
As a result, pillars are first formed and walls filled later.
11/21/2018

6. The function of Templates
Template is a pattern that is used to construct another pattern.
Various kinds of templates available in the natural world.
Templates interplays with self-organization to determine the building pattern.
11/21/2018

7. Different kinds of Templates
Template is a pre-pattern in the environment.
Templates may be the temperature and humidity gradients.
Templates are the body shape of the queen in the building of “royal chamber” of termites.
11/21/2018

8. temperature template
11/21/2018

9. How the body shape template works?
The queen emits a pheromone that diffuses and creates decreasing gradient.
A worker deposits a soil pellet if the concentration of the pheromone is within the suitable window.
It is shown by experiments that wax dummy queen doesn’t stimulate construction.
11/21/2018

10. The Building of the Chamber
11/21/2018

11. Quantitative Evaluation of the first model
Goals:
1 The speed of building
2 The construction model
11/21/2018

12. Goal 1: The speed of construction
The rate of the building process increases very rapidly, especially in large groups.
In the first 60 minutes, 0.2 depositions/per worker (20 workers)
The same interval. 2.2 depositions/per worker (80 workers)
11/21/2018

13. The speed of construction
Comments?
Two factors, the time and group
size. However, the author doesn’t specify clearly which one is more
important.
11/21/2018

14. Speed of construction
11/21/2018

15. Goal 2: The construction model
What the author wants to do is to build up a mathematical model for the building process.
First without templates:
1 The dynamics of pheromone.
2 The dynamics of loaded termites.
3 The dynamics of active material.
11/21/2018

16. Step 1: The dynamics of pheromone.
H(r,t) is the concentration at location r and time t.
k2P is the pheromone emitted per unit of deposited material per unit time.
11/21/2018

17. Step 1: The dynamics of pheromone.
k4H is the decay of pheromone.
is the pheromone diffusion.
What the equation states is that the current change of H is equal to the emit of pheromone
minus the decay of pheromone, and then plus the diffused pheromone.
11/21/2018

18. Step 2: The dynamics of loaded termites
denotes the attractiveness of the
pheromone gradient.
denotes the random component in
individual motion.
denotes a constant flow of loaded
termites into the system.
denotes the rate of unloading per
termite per time unit.
11/21/2018

19. Step 3: Dynamics of active material
This equation shows the dynamics of active material P. K1C denotes the drop of the loaded termites while k2P denotes the rate of disappearance of active material P.
11/21/2018

20. Overall Behavior
When material is dropped, cement pheromone is emitted and diffuses, thus attracting more termites toward this area and thus more material is therefore dropped.
Positive feedback, leading to a pillars
to exist.
11/21/2018

21. Then… templates The template is in the form of pheromonal template.
The amount of queen pheromone at location (x,y) is :
11/21/2018

22. Template Distribution
11/21/2018

23. Template Model
Dynamics of loaded termites and the deposited active material.
11/21/2018

24. Spatial Distribution of P
11/21/2018

25. Review of this model
It simulated the wall-generating process around the queen.
It explains the snowball effect and the formation of pillars.
However, it doesn’t take in account of many factors realistically. For example, it considers everything to be linear or constant.
Oversimplified? Comments and Questions?
11/21/2018

26. The second Model
The second model studied is the wall building process by another kind of ants. The second model is different from the first model in several aspects.
The template for the second model remains unknown, but we know its function is to allow the size of the nest to be regulated by the colony size.
11/21/2018

27. The nest in the lab
11/21/2018

28. Overview of the model
The deposition behavior is influenced by the local density of grains and the distance from the cluster of ants and brood.
The model exhibits double mechanism,
template and self organization.
11/21/2018

29. Basic Model
According to the basic model of depositing grains, the possibility of depositing is pdpt. The possibility of picking up a grain is pd(1-pt).
Pd depends on the perceived number of grains. Pt accounts for the effect of the template.
11/21/2018

30. Template for the simulation
11/21/2018

31. The model result
S is the density of the grain. In a stationary regime, we can get the two equations below.
11/21/2018

32. Simulation Process
11/21/2018

33. Applications
Currently the idea of template and self-organizing mechanisms have been used in the context of data analysis and graph partition model.
The template method is an elegant way of restoring parametricity. However, no comparison with previous methods is provided.
11/21/2018

34. Applications (cont.)
In the graph partitioning problem, the goal is to partition the graph into c clusters of equal size while minimizing the number of inter-cluster connections.
“Adding a template mechanism to the KLS algorithm solves this particular problem.” But the author didn’t show how he did this.
Questions?
11/21/2018

35. Review
A template is a pattern used by insects to organize their activities. Building following a template is typical.
Two examples. Both have self-organized deposition following the template.
Template inspires new parametric solutions to some problems.
11/21/2018

36. Thank you!
11/21/2018