If I've missed where I am, I apologize to you. But if I had to guess from personalities of this subreddit users, I'd say you're probably interested in this topic also. (I already knew what cellular automaton is.)

I am interested in simulating natural selection or evolution. I'm not talking about computational biology or information science. it is just for fun.

To be honest, I haven't looked at a lot of resources, but I can't find any examples where very complex organs “emerge” starting from a single cell. The one example of very complex organs is of course the human brain, but I think skeletons, muscles, eyes, legs are complex and complicated enough.

Most simulations tend to start from “hundreds of millions of years ago” rather than “billions of years ago”, which means that predator-prey relationships already exist in their simulation environments (this implies the existence of a digestive system, eye, leg(if on land)).

Another example is bipedal walking. Keiwan's fancy software, evolution, describes how a digital life learns to walk over and over many generations, when already given a set of joints, bones, and muscles.

Meanwhile, there are simulators that start from “billions of years ago”, and so far I have not seen the emergence of “sexual reproduction”, not asexual reproduction...(if there exists, please let me know!)

Please misunderstand me. I have no any intention to insult those brilliant software developers and their artworks (I say artwork).

Hi All
Im interested in automata and therefore made a small Web-Application (https://atomicautomata.deno.dev/) where one can explore a simple automata.
There are 4 sliders, n_1 , n_2 , fps and resolution.
The automata rule is as simple as this:
A kernel 3x3 gets iterated and the normalized pixel values 0.0 to 1.0 get summed up. the sum is then averaged (n_nor). (o_last.r) is simply the normalized value of the last pixel
Then the logic is as follows:

if(n_nor > n_1 || n_nor < n_2){
n = o_last.r-n_nor;
}else{
n = o_last.r+n_nor;
} n = 0.0;
if(n_nor > n_1 || n_nor < n_2){
n = o_last.r-n_nor;
}else{
n = o_last.r+n_nor;
}

I'm using Golly to run a scalable game of life computer a with screen. The problem is, when accelerating the speed of generation to 8^7, the app almost freezes, even though a small percentage of system resources are being used (maximum ~500MB of RAM on a 32GB system). I tried almost everything to make it faster, but no luck so far. Does anyone have experience in running Golly on a very fast generation speed? Any idea for acceleration is appreciated.

Golly running with 8^7 speed

Let cells be triangles holding binary states. Start with a lone live cell and change the state of cells with one living neighbor repeatedly. The first ~1024 initial steps look like a boring, growing and blinking hexagon. But then, a structure emerges on 3 sides of the hexagon. The center of the grid stabilizes around t=5570 and the structure gradually takes its final form. Here is the definitive top of this structure. How cool is that?

Top of the stable structure

This rule is actually one of 256 elementary cellular automata in the triangular grid: rule 210. Many of the others are pretty interesting (and beautiful) too.

More one rule 210: https://triangular-automata.net/?p=rule-210

I'm currently creating a video game about cellular automata, where the player has to do a certain quest in order to move on to the next level.

The problem? In the cell's reincarnation rule, it states that having 3 or more neighbors will make the dead cell become alive. The way I programmed this is very sub-optimal, but I don't care about performance, I care about whether my rule implementation will make a difference in grid generation. Here is how you can help me:-

Lets say, we have a 3x3 grid:
0 0 0
0 0 0
0 0 0

Ok, now we add a 1x3 oscillator:
0 1 0
0 1 0
0 1 0

My question is, what will happen next? Will the pattern be the same? Or will it differ because of the limited grids? Let me know in the comments!

anybody got asimple simulator where you can create rules in this neighbourhood by clicking idk how the github combination works

ChatGPT helped me code a website and describe the stuff I like to experiment with to my wife and friends in a clear way!

compzombie.github.io/CA-Research/

Worst plane crash in history