Writing discrete "differentials" to simulate totalistic CA

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Wyirm
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Writing discrete "differentials" to simulate totalistic CA

Post by Wyirm » August 16th, 2022, 2:17 pm

let's say we have a set of 1s and 0s that take up a 3 dimensional plane. A(x,y,t) is a function that give us the state of a cell with coordinates x,y at t generations. To condense everything, a will be the sum of all neighboring points in the x-y plane of generation t. B and S are sets, and they represent the birth and survival states. B⊆{0...8},S⊆{0...8}. Using Boolean logic, A(x,y,t+1)=(A(x,y,t)∧a∈S)∨(Ā(x,y,t)∧a∈B).
In other words, If A(x,y,t)=1 and a is within the set of survival states, or A(x,y,t) is 0 and a is within the set of birth states, then A(x,y,t+1) is 1, otherwise A(x,y,t) is 0. For example, cgol's sets are, B={3} and S={2,3}.

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x = 36, y = 28, rule = TripleLife
17.G$17.3G$20.G$19.2G11$9.EF$8.FG.GD$8.DGAGF$10.DGD5$2.2G$3.G30.2G$3G
25.2G5.G$G27.G.G.3G$21.2G7.G.G$21.2G7.2G!
Bow down to the Herschel

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