Hi, nice cellular automata. Any chance you can share the rules you are using?
Also, I used some randomness in 1D cellular automatas, and it gave some nice patterns: https://www.pouet.net/prod.php?which=57063
(Also had a java version, but not working anymore)
thank you! and thanks for sharing. this looks like a neat family of cellular automata! they really do do interesting things when you make them stochastic. i've played with that too for labyrinth generation etc.
this family is three state, 8 neighbor totalistic.
it counts number of neighbors which are 0, 1, and 2, and then it looks up a transition in a table. the table might not make sense because there are multiple ways of writing them out.
Comments
Also, I used some randomness in 1D cellular automatas, and it gave some nice patterns:
https://www.pouet.net/prod.php?which=57063
(Also had a java version, but not working anymore)
In the demo I continuoysly modified probabilities...
it counts number of neighbors which are 0, 1, and 2, and then it looks up a transition in a table. the table might not make sense because there are multiple ways of writing them out.
[1,3,0,1,2,0,1,0,1],
[0,2,0,3,0,3,0,2,0],
[3,2,0,0,3,3,1,1,3],
[3,3,3,3,3,1,2,2,1],
[3,2,3,1,3,2,1,1,1],
[0,0,3,2,1,3,2,3,2],
[3,0,3,0,2,2,3,3,1],
[0,2,1,1,1,3,2,3,3]]
You only have 9×9 values because the number of 2s is 8 - number of 0s - number of 1s I suppose?
Finding the values must have been fun! 😅