Works in a series of scales. simple ---> complex
Cellular automata displays a series of scales, the more infinite it becomes the more variables are added. As new states are added the automata becomes more complex.
The most basic gives 2 states per cell, and a cell’s neighbors defined to be the adjacent cells on either side of it. A cell and its 2 neighbors form a neighborhood of 3 cells. So there would be 2^3=8 possible patterns for a neighborhood.
With each rule new generations are created
What would happen if it weren’t based on a grid system?
2 comments:
scale factor, simple: complex
more variables (ex. 3d, diagonal..), simple: more complexity, closer to nature?
computational method allows us a way of mimicking the patterns in nature.
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