Cities are under evolution. They have their own negative feed-back system built in. It records the disadvantages, modifies it into a contributing element and uses the modified data as an input for the new city. In this case, every time when a new model is built, it should be better than the previous model.
New cities are built under certain rules. First, the number of intersections are larger than 8 intersections. Second, number of buildings inside the the intersection radius are larger than 30. The total building height is larger than 1000. The system will remember these points of high density. When the system tries to construct new cities, the density level of these level will decrease by adding new intersections to the area around the new areas. Of course, we have to keep the city dense. So, if the number of intersection in the city exceed a certain number. The number of intersection will stop growing. Instead, it will average the distribution of density inside the city. On the local level, the building of the city will be dismantled if the buildings are all surrounded by dense buildings, just like data should be erased if they are overwhelmed.
Although one city is duplicated, new cities are created whenever conditions are fulfil. It does not imply the death of the previous city. Previous cities will be inhabited with residents. There are infrastructures and its own system working inside. It also notices the existence of other systems around. But, systems never have interactions. They have their own autonomy.
Through the new algorithm, the past, present and future of the city can thus be visualized at the same time. They are implicitly related to each each other, but with no visual connection to each other.
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