Tokyo/Model

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(Difference between revisions)
(/* To establish a system following Pareto’s principle(for example Ant society), 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), d)
(/* To establish a system following Pareto’s principle(for example Ant society), 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), d)
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==[[Tokyo_Tech|Abstruct]]  [[Tokyo/Model|Concept & Model]]  [[Tokyo/Requirements |Requirements]]  [[Tokyo/Genetic circuit|Genetic_circuit]]  [[Tokyo/Works|Works]]  [[Tokyo/about our team|About_our_team]]==
==[[Tokyo_Tech|Abstruct]]  [[Tokyo/Model|Concept & Model]]  [[Tokyo/Requirements |Requirements]]  [[Tokyo/Genetic circuit|Genetic_circuit]]  [[Tokyo/Works|Works]]  [[Tokyo/about our team|About_our_team]]==
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==== To establish a system following Pareto’s principle(for example [[Tokyo/Concepts|Ant society]]), 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. ====
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==== To follow Pareto’s principle like [[Tokyo/Concepts|Ant society]], our model system must follow the three cases in Fig 1 to 3. In our model, all nodes (individual cells) have the same genetic circuits but take two states, A (worker) and B (idler), depending on the surrounding circumstances. ====
'''Condition 1. Bistable state'''  
'''Condition 1. Bistable state'''  

Revision as of 13:20, 23 October 2007

Abstruct  Concept & Model  Requirements  Genetic_circuit  Works  About_our_team

To follow Pareto’s principle like Ant society, our model system must follow the three cases in Fig 1 to 3. In our model, all nodes (individual cells) have the same genetic circuits but 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
By removal of node A, the system containing only node B becomes unstable.

Condition 3. From unstable to stable state

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

Concepts.jpg