Tokyo/Model
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(/* 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), dep) |
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[[Image:model1.jpg]] | [[Image:model1.jpg]] | ||
| - | <br>The system is stable containing nodes A and B at certain ratio. | + | <br>Fig. 1 The system is stable containing nodes A and B at certain ratio. |
'''Condition 2. Unstable state with node A removed''' | '''Condition 2. Unstable state with node A removed''' | ||
[[Image:model2.jpg]] | [[Image:model2.jpg]] | ||
| - | <br>By removal of node A, the system containing only node B becomes unstable. <!--Node B detects the removal of node A from the system and knows that there is only node B left.--> | + | <br>Fig 2. By removal of node A, the system containing only node B 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''' | '''Condition 3. From unstable to stable state''' | ||
[[Image:model3.jpg]] | [[Image:model3.jpg]] | ||
| - | <br>In the unstable state, some node B become A while the others remain B. The system then becomes stable again. | + | <br>Fig 3. In the unstable state, some node B become A while the others remain B. The system then becomes stable again. |
[[Image:concepts.jpg]] | [[Image:concepts.jpg]] | ||
Revision as of 13:23, 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
Fig. 1 The system is stable containing nodes A and B at certain ratio.
Condition 2. Unstable state with node A removed
Fig 2. By removal of node A, the system containing only node B becomes unstable.
Condition 3. From unstable to stable state
Fig 3. In the unstable state, some node B become A while the others remain B. The system then becomes stable again.
