Tokyo/Model

From 2007.igem.org

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[[Image:model1.jpg]]
[[Image:model1.jpg]]
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The system is stable containing nodes A and B at certain ratio.
The system is stable containing nodes A and B at certain ratio.
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[[Image:model2.jpg]]
[[Image:model2.jpg]]
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Removed of node A, the system contains only node B and becomes unstable. Node B detects the removal of node A from the system and knows that there is only node B left.
Removed of node A, the system contains only node B and becomes unstable. Node B detects the removal of node A from the system and knows that there is only node B left.
   
   
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[[Image:model3.jpg]]
[[Image:model3.jpg]]
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In an unstable state, some node B become A while the others remain B. The system then becomes stable again.
In an unstable state, some node B become A while the others remain B. The system then becomes stable again.

Revision as of 14:04, 16 October 2007

Model

To establish a system following Pareto’s principle, the system must satisfy the following three cases. In our model, all nodes have the same genetic circuits and take two states, A (worker) and B (idler), depending on the surrounding circumstances.


Condition 1. Bistable state

Model1.jpg The system is stable containing nodes A and B at certain ratio.


Condition 2. Unstable state with node A removed

Model2.jpg Removed of node A, the system contains only node B and becomes unstable. Node B detects the removal of node A from the system and knows that there is only node B left.


Condition 3. From unstable to stable state

Model3.jpg In an unstable state, some node B become A while the others remain B. The system then becomes stable again.