I've watched so many videos on countless different cellular automata and still every time , I'm just , overwhelmed by the complexity that emerges

That last pattern is so wild, it almost looks like a microscopic fluid simulation. I bet you could use it in optimizing circuit board layouts or something.

3 things: 1) your work is awesome, keep it up! 2) it's fascinating how these patterns are visually so similar to those produced by reaction-diffusion systems (e.g. how big cats get their stripes/spots). I have to believe there's a connection there. Convolutions, Fourier Transform, and differential equations are all tightly linked, so this isn't too surprising. 3) any insight into what's up with the dithering / checkerboard pattern? It seems crucial for stability in the worms world parameter-space. It also seems like it facilitates the different color density "species". Would love to see a cross section of what's going on.

This is great! Your content is really high quality, i sincerely hope your channel grows!

There does seem to be genetic diversity for the green mitosis cells, since some of them are dark and others are light.

@EmergentGarden

2 жыл бұрын

Ha I knew I should've mentioned that! You're right, though it doesn't affect their rate of replication I believe

@galator443

2 жыл бұрын

@@EmergentGarden Does this mean that with wider range of cell values and more complicated activation functions there might be a way to implement at least something that vaguely resembles a simple natural selection?

@pi314159265358978

2 жыл бұрын

This is usually due to the skip frame display feature, rather than genetic diversity. Well, depending on your definition of genetic diversity. All cells pulse between a bright state and a darker state and depending on the phase you'll see only one of those when the skip frame function is enabled.

@ysqys2176

2 жыл бұрын

@@galator443 with enough floating point precision (would need a modification of the engine, I think) and a complex enough activation function you can perform arbitrary calculations so I don't see why not

Thanks for demystifying neural cellular automata for me. It's really quite amazing and reminds me of reaction-diffusion more than conway's game of life.

@d3nt391

2 жыл бұрын

Im wondering if you had to do some kind of sahder programming, or if one can program something just as fast with just by populating a new array for all the pixels every frame

Beautiful descriptions and images. You've truly expanded my mind, thank you.

the visuals and the music make this some of the most beautiful bits of generative art I’ve ever seen

The thing at the end looks like roadways yes, but actually looks even more like a circuit board

Fascinating. I'd be quite excited to see a life simulation based on these complex NCA behaviors. There would have to be quite a few parameters to be able to inherit/mutate I'm sure.

@EJM505

2 жыл бұрын

What does the acronym 'NCA' stand for?

@robertbrowning295

2 жыл бұрын

@@EJM505 Neural cellular automata, or complex algorithms that dictate what the pixels surrounding it will look like. The NCAs highlighted in this video are examples that resemble organic life and some of it’s cellular function (like mitosis, around the 1:20 mark)

These videos and this knowledge and this path of study needs to be shared!! I don't think most people would understand how important this is but I can see so much potential here! This IS how life works.. this IS life and nature itself..

I tested this thing, very cool!) I changed the parameters many times and it turned out very interesting things sometimes.

the last slime mold example (6:10) reminds me of ant colony simulations where they start off with an unoptimized path from hive to food and optimise it iteration by iteration. Really fascinating stuff!!

this is just beautiful. and thank you, mr. emergent garden.

These are so cool! You should definitely simulate a natural selection process for these patterns

I found this as fun to watch as to watch real microscopic footages of organisms , but why?

Love the video please make more.

If you can implement some sort of pattern with a kind of conservation of energy with a little bit of free energy income, that could lead to some incredibly realistic patterns.

would be so interesting to actually see evolution in NCAs, it would be just next level fascinating

Great work!

I absolutely love this. Check out this pattern I found: all weights set to 1, activation function -(x-1.98)*(x-4.02)

So cool thankyou for sharing!

I would watch a hour compilation of these neural patterns. Would be great to have as a visual stimulus on my desktop as I was working in my office.

Love your vids

Incredible job

Bluhuhuh reminded me of ecoli when you first introduced the white and pink mitosis

I love this video so much

1 step closer to making a true a.i. that thinks and feels like organic beings do

Everything truly is MATH. Wow the patterns are like real life. That is insane.

At about 2:10 to the left side of the collective blob. How does those small "mutations" arrise, as you said, there is no genetic information passede on, but it sure seem like the small ones produce small ones & the big ones big ones. So there must be something to their pattern that acts as a semi information. Or is it a YT compression error I read to much into?

I'd really like to try this out but was unable to get anything but the main menu and a black screen. I tried loading some of the examples but nothing displayed. Do I need to enter some data into the activation window? Pointing and clicking the left mouse button had no affect either - thanks.

What about creating a slime mold colony and an anti-slimemold colony that explode when they come into contact, destroying a large portion of the area around the explosion, but also leaving trace amounts of energy that interacts with both colonies in various energy like ways? Sort of like the matter/antimatter collisions if the early universe.

I wonder if you could use an edge detection algorithm to find if a new "organism" was born and then have a different filter for each one. Each organism could have a slightly different filter than its parent and thus natural selection could ensue.

@RafaelSCalsaverini

2 жыл бұрын

Perhaps you do this: Each organism lives in their own grid that evolves according to a rule. After each step, you run something to detect if there are multiple blobs in a given grid. Perhaps you could try to see if the function implied by the values in that grid has multiple peaks and apply a threshold to define each blob. Than you would separate the blobs each in their own grid and slightly change the update rule (filter + activation function).

@RafaelSCalsaverini

2 жыл бұрын

Perhaps interaction between organisms by using filters that run in other grids and contribute to one's own next values... I don't know how you would introduce competition though. It seems that the only pressure here would be to form the biggest number of "blobs" possible. Perhaps you could limit the total sum on each site of the grid (like a spatial limitation) or introduce some energy expenditure that affects the dynamics.

What is the filter and activation for all of these

This is the coolest shit I've seen in ages

What is this coded in? I'm quite experienced with neural networks in python and I'd love to have a go at something like this.

I would be interested to see contiugious masses storing the genetic code for the algorithm, and when they expand there is that fractional chance of a mutation in that small part of the mass. What colour differentiation threshold defines a contiguous mass would likely have to be a parameter of the system, and any mutation would likely have to come with a colour change in order to seperate it from the original, but. Otherwise it would be a relatively clean and elegant way to implement a kind of natural selection, I think.

6:10 stunning!!!

What is the underlying logic behind ? Some kind of modified Grey scott reaction ?

The last ones looked as the patterns of the plane of a city streets, it could be usefull for some software that generates cities for videogames.

YAY NEW VID

DO IT!! PLEASE PURSUE SELECTION BASED ON NCAs!!!

@DG123z

9 ай бұрын

PLEASE PLEASE PLEASE.. I would if I could but can't.. I don't have the knowledge or resources.. please do this please.. I need to see it!

@DG123z

9 ай бұрын

I don't know how to contact you directly.. I hope my comments reach you.. this area of research is so important

first song used in video?

lovely

please add some food/resources on the way these patterns grow, to add complexity. in general it would be 2 patterns : one for organism (based on its genetics) and food map/pattern (based on how food distributed around) I think main advantage of this overlay would be the conditions you can't program into organisms so this overlay should expand maximal complexity of this system.

art

Man, u really gotta post the filter and activation function. Id like to play around with it

I feel like this is the first step towards an AI takeover

@micahconnor8954

2 жыл бұрын

I feel like this would be a different kind of AI than what most would imagine. Instead of one superintelligent AI overlord, it would be an innumerable group of singular thoughtless AI, using evolution processes to colonize the internet. It would be a conquest of plague

@electronicbamboo6764

2 жыл бұрын

@@micahconnor8954 yeah like someone does an evolution simulator with a supercomputer but then they realize they’re in a simulations and break out

Be cool if we could somehow have multiple different ones occupy the same simulated space to see what would happen. Maybe different colours could cause blank spaces to act differently.

now you need to write one which acts as a predator, eating the slime mould

The takeaway from this should be the confidence that organic shapes and complex behaviors arise easily in situations where the elements of a large system are influenced by their local environment and not more distant information. To say that these shapes are 'surprising' to see coming out of these cellular automata is to say that the a-priori expectation was that organic shapes and complex behavior relies upon some complicated design. If conventional wisdom incorporated the understanding that these shapes and behaviors are inevitable in dynamic systems, we would be better off since people would not find it necessary to look for supernatural explanations for life and such.

Local vibrational networks?

combine neural cellular automata with evolution

6:50 looks like a circuit board made out of liquid

Hope you've heard about Lenia

u cud prolly sell these full screen images as nfts lol

That almost sounds like stem cells.

Your discord link is broken

What if the parameters were not the 8 adjacent cells but instead the 16 cells in the ring around the 3x3 grid. And 8 adjacent cells do not matter.

Suppose that these patterns could be used as patterns of growth or expansion for self-organizing programs, robots, or AI creatures in a simulation. In theory you could run the algorithm for a few steps and compare the resulting pattern with the current pattern and wether there's sufficient resources to grow into that new shape. You could also have different layers of these patterns to help decide different aspects of the growth. Would interest me greatly to see more AI used in videogames.

So is this your project?

오 :)

fun fact: no one has watched the full video yet because its only 5 minutes old edit: someone probably has now

@john.d.rockefeller2538

2 жыл бұрын

Hello, fellow fan.

2:22 natural selection IS happening here; it's just that it's not "genetic" (although it is also code, lol),

@briitch3131

9 ай бұрын

natural selection is a benign phenomenon. it is something which happens all around us every day. it is a product of the passage of time

ok

@dylanvillainy

2 жыл бұрын

fucking badass

@jnotjequel

2 жыл бұрын

hell yeah brother