C++ Ants Simulation 3, Maze
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- Опубликовано: 1 окт 2024
- Wanted to see how ants would perform in mazes.
Simulator wrote from scratch in C++ using SFML for rendering.
This project is not based on scientific articles and is not intended to be accurate.
Old video • C++ Ants Simulation 2,...
Github github.com/joh...
It would be super cool to see a maze with multiple correct paths so we could watch them optimise their route
I don't think they will. If the ants only find one way they will only follow it careless if there's a better one they haven't discovered. If they find 2 at the same time they will use the shorter one because there will be more pheromones because the ants don't Have to walk that fast to spray them out
u can see their multiple routes at the smiley near the end
@@sinnvollerkommentar263 I mostly agree with you(btw hello German m8), although there is a chance that they will be able to optimise their path, if many ants decide to be "adventurous". Albeit this chance is very low.
The first path the ants find will mostly likely be the shortest
@@nikosplugachev6610 "most likely" is about too strong a claim IMO, but you're right
RIP to all the ants who're still stuck on the right side of the complex maze
They were definitely bugs
cant like bc 69 likes
F
kogh
@@nou4898 Now go like for 420
It's really interesting how the path optimizes overtime once they've discovered the food.
@@smilingx4-189 the best trajectory changes with how high the objects velocity, mass etc. is.
The path the ants take will most like not be the best path for anything else besides them.
its somthing ants do
I would love to see an environment that changes dynamically so they have to adapt to changes potentially getting in their way.
like, for example, a sandcastle the 1st day but then a bunch of sand rocks the next.
the density views looks like scifi energy or something, I love it
I thought I was the only one
Agreed!
I'm finally early on one of your videos, fantastic work. It's fascinating to watch them go from a scattered mess to a perfectly organized and optimized path.
Always top quality simulations plus you provide the source 👌🏾
Ants eating Pezzza's logo in the end are next level.
cant like bc 69 likes
also ur comment was below someone with 69 likes
@@nou4898 nice
It's so cool how the turns change to be more optimal.
This was one of the coolest outro i've ever seen.
Great work Again
Also that you wrote an algorithm to turn your image into food. It's so little details that show how much work you put into it
Not gonna lie. I have no idea how i ended up finding your videos, but youtube has been drip-feeding me your ant simulations and its been a blast to watch. The slime molds were wild too. thanks
Like because you never cut the ants eating the "thanks" screen until they are done with it.
It'll be interesting to see what you come next? Maybe two tribes of ants competing with each other? Maybe ants can die if they don't find food soon enough, so we see where there are "traps" for ants?
4:27 looks like the t-shirts always worn by that one high school classmate who really loved Slipknot
Ahhhhhhhh, in my timezone its currently 0:47h and i have school tomorrow, but f*ck it, I have to see this Video now
The end screen reminded me of one of these plasma globes!
Come to think of it, this would probably also work well in 3D, right?
It should but its most likely not as nice to watch and also a bit more complicated to implement (Not much more though). Though I'm not onehundred percent sure on that
So one thing I've noticed is that when ants get stuck in limbo (usually explorers from before the food path is established), it can take them a really long time for them to eventually return to the path, if they ever return at all before the food supply runs out. These ants in limbo are essentially wasting the colony's resources while they continue to exist; because the number of ants on-screen is fixed, ants in limbo effectively lower the number of ants that can contribute to bringing back food.
I propose that you give each ant a "life timer" which dictates how long they can survive outside the colony. You set the timer based on how long it should realistically take to find a food source. At the start, several thousand ants are spawned from the colony, one per millisecond (don't spawn them all simultaneously, otherwise large amounts of ants will die simultaneously, which looks really weird). If an ant's life timer expires, it dies and a new one spawns at the colony. If an ant picks up a food morsel, its life timer is completely refilled. If an ant delivers food back to the colony, its life timer is also completely refilled. In other words, only the ants that most effectively contribute to the colony survive, while the stragglers eventually die off.
Maybe later on, you can probably implement some kind of birth-death system so that the number of ants fluctuates based on how plentiful or scarce food is, but for now I think the "life timer" mechanic is a good first step.
Ants actually leave a trail as they leave the nest so they can follow it back home later. im not entirely sure, but i suspect they go home eventually, but maybe they stay out until they find food or die... when they find food they leave a different trail while following the trail back to their home. this is so that other ants can find the food. in real world situations, its not just one big block of food and the ants are always looking for more food. that is to say them still looking for food is a good thing, if they died too quickly they never would have made it out of the maze and all ants follow the same set of rules.
You do it!
I think you may get better initial dispersal if you add a behavior to cause explorers to steer away from each other slightly, boids-like. Possibly they could steer toward nearby collector/returners as well. I haven't actually looked at your code, though, so I don't even know if their states are discrete, lol.
They could just also avoid the high concentration of return-home pheromone in search-for-food state.
Cool video man! I can't wait to see the next addition to this series.
Did you include known-false avoidance?
(when searching for food, staying away from "to-home" markers?)
i was just about to make a comment like this! i didn't know the name, but i was thinking that they'd probably explore and find food much faster if ants followed signs of "no home pheromones" towards places other ants thereforr havent explored recently/thoroughly
@@LoreleiBlaine a simple case of eliminating places to search that are known to be empty.
Would like to see side-by-side comparison with the current system.
I love these ant sims so much!
Really impressive work and clean code. Your effort, innovative way of thinking only boost great C++. Perfect && thank you. Have a nice day!
Thank you for this, it's an outstanding demonstration. I am planning an exhibition about mazes and would like to feature this video with your permission.
Yes no problem :)
@@PezzzasWork Many thanks, this is beautiful work and I really appreciate it.
Do you have a demonstration of Flood and Backtrack (the Lee-Moore Algorithm)?
This is basically PSO but instead of particles they're ants huh x']
I'm soo glad I found this channel, this is great
Couldnt this be used for pathfinding AI in games, instead of the awful algorithms they use nowadays that suck up CPU cycles?
You cool make some cool looking lightning with this, considering that the ants act something like negative particles, and the food like positive particles, then run the simulation take the density view and the speed up the frames to the speed of lightning.... you might have to change the finding function after the food has been found and or depleted, to then make the lightning end correctly.
Wow your videos are so awesome. I really fall in love with you training a drone video.
Like it was so much cool.
uh guys. Why does the complex maze path say "sus"? If you cant see it, its more obvious at 3:34, look at the top half of the maze, and in the center it says "Sus".
i like that the 303 started in the song when the acid maze came on screen
I hope someone visualizes how The Algorithm recently discovered ant algorithms as a delicious and plentiful source of views...
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Can you please how you made the ant?? I mean which softwares you use. Does it comes under game development???
just thinking... in the circular maze at the end there was still quite some activity in the upper right quadrant of the maze.. those are old ants that never find their way out of that part of the maze? interesting phenomenon..
and having watched all of your ant simulations i had the idea this would be recreatable as an experiment.. i don't know how "cruel" it would be to build the same maze and put 2000 ants in there with a block of sugar at the other end (or something nutritious for them, excuse my ignorance)
i remember watching an ant-otaku some time ago that would be an ideal partner for that kind of experiment ^^
thanks for sharing your ideas.. your vids motivate me to pick up a long-neglected skill: programming..
can an ant take same space with other one ?
can i use this to get street routes ?
The density thing reminds me of some sort of life-drain spells and I enjoy it more for that
Watching the green face eaten away and replaced by a red "face" in the end was scary.
That density view looks like electricity arcing. Very cool!
i wonder what would happen if you treated it kinda like snake, you have one scorce of food and when it is depleted another source randomly pops up.
I can think of 3 possible results:
1- they set up a form of pseudo base that acts as a middle man from a depleted source to a new one, it would slowly be optimized and the pseudo base wouldn’t be there anymore.
2- once a source is depleted they revert back to looking for new food and they completely forget about the old location
3- the most probable outcome is a mix of these two that depends on what any finds it first. if it was an ant that was at the old source when it depleted and started looking for a new source then the pseudo base might appear, and if te ant was just a stray wonderer then the 2nd result may happen.
Another idea i think would be cool is a sort of “Respect score” where each ant has a respect score. each time an ant takes one peice of food to the base they gain one point. The more points an ant has the more likely other ants are to follow them.
And yes, i understand the problems with coding this due to having so many ants all being treated uniquely so its a complete hypothetical.
My boy spilled some sugar in the kitchen. A few days later we had a trail of ants. This explains it, I guess.
How do you get this code to run so fast with so many draw calls? My program dies when I get to over a thousand per frame.
There are not so many, I render objects of the same type in one draw call. And the rendering is multithreaded to smooth things a bit.
Man, just gotta love the way ants work, it's such a powerful algorithm and so effective.
Really cool how these ants are in essence performing BFS. It's also quite interesting how they optimize their path, like in the simple maze
Can you make one-way bridges over walls?
That's an interesting idea, I think its doable
the density view looks awesome - kinda wanna use it as visuals for the next time dejaying
Super cool! Thank you
So inspiring! Beautiful
I love it! can you write tutorial?
just look at the damn description
Was cool
the density view looks a LOT like lightning or electrical discharge. does the simulation run in real time?
hi, are you french ?
ok but release this with a maze editor you'd be very good, Di Molto even, maybe a steam release?
First, Could this be a maze solving algorithm? and second, I love the way the paths shift, like a rubber band tightening around an object
*Damn this could be a game where you have to solve a certain set of puzzles to unlock the cage & save yourself before the sharks fill the under-ocean-maze.*
Who ever is buying this idea give me a high five and 47% of all the profit
Though unrealistic, a 3D environment would be interesting
Another few things to try: forces, a barrier that slides slowly, a wind blowing the pheromone northwest, designated 'explorer' ants that ignore paths to develop new ones
I love that software. Been playing scenarios for hours. Only small issue are those crashes :)
I'm a programming smol brain. How does this even work?! It's so cool! Won't simulating thousands of tiny dots and giving them paths and intelligence make the program slow tho? How is it being done in real time here
Oh, can you make a "Tesla Valve" maze and count the success time for one and another direction?
i cant help but see "Sus" written in the complex maze and im SO sorry if thats unintended
If you make 2 paths to the food, I wonder what will happen. For example, one path is shorter but with a lot of branches. And other path is longer but straight forward. Will the ants choose 1 path over the other? Or will the ants take both path but at different distribution?
Quantum Computing Machine is still trying to... understand how this can be of any help...
when they grab food do they know the nest location by themselves or do they just use the pheromones to locate it?
Navigation is 100% based on pheromones they have no hints about food or colony position
@@PezzzasWork Thanks for answering. I've seen other ant simulation videos, but yours seems to be the best by far and I'm trying to figure out why does it behave differently from the others. I'm gonna ask a few more questions if you don't mind.
How do the pheromones work?
Do the pheromones decrease their strength and disappear over time ?
Do the ants drop pheromones with the same initial strength all the time?
What is the pheromone detection area and how do they choose which ones to follow, do they go the area with the highest sum of strength or do they follow the single pheromone with the highest strength?
Sorry if I'm being too annoying. :)
would be interesting if you expanded the markers to act like ant pheromones do. Not only "we found the goal go this way" but also "we found nothing here move on" and have the markers pass from ant to ant a bit better so they could generate messenger ants that follow trails from exploratory groups until it reaches a place where it can no longer progress along the exploration marker without touching its messenger marker etc.
that way pockets wouldnt get stuck and you could do time trials by altering weight of when ants will swap to messengers, how long before a nothing here marker is placed, and how many will follow a "we are exploring this way" marker etc.
Ok. This possibly a stupid idea. But, hear me out.
A maze, filled with food. Eh?
cool video bro
yaaaaaaaaaayaaaaaaaaayaaaaaaaaaaayaaaaaaaaaaaaaaaayaaaaaaaaaaaaaaayaaaaaaaaaaaaaaaayaaaaaaaaaaaaayaaaaaaaaaaaaaaaaaayaaaaaaaaaaaaaaayaaaaaaaaaaaaaayaaaaaaaa
Inecrenedibülééée! (Just to emphasise how incredible it is. 😏 )
2:01 what's in my head when those ants{automatic negative thoughts} take over
means you got to do like every body else to survive, this is frightening
- cos it means , on your own, you're dead
- for the group, no other solution will ever be found and the society is stuck in a local minima
I wonder if you could optimize the algorithm by having the ants prefer paths that are not towards home...
this creates a really cool visual. I think it would be interesting to generate graphics or vfx assets by using similar simulations
You said in the description that you use SFML. I don't have a lot of experience with various free graphics (or rendering, if that is the right term) libraries out there. But I know a few different ones.
But I wanted to ask if you have had any experience with SDL2? And if so, do you prefer SFML? Or does each library have their own niches?
Looks like they digg pure argent energy from the hell)). Nice simulations
its so funny to me to watch their society collapse after all the food has been eaten. They're like "Well now what?" *panics*
What bout a complex maze with 2 possible routes a shorter one and a faster one, to see if they will change the route based of efficiency or stick to the route found first?
What...
is this?...
_A simulation _*_FOR ANTS?_*
The density function looks a lot like lightning. I guess it has some similarities with how lightning works, following the path of the plasma
Hi, I love your ants simulation videos! I'm trying to implement my own also.
If this was in real life, the ants would be more focused on killing each other than completing the maze 😂
soo density view leads me to believe that ants are actually lightning
Do the ants have to have bias for their own pheromone trails for this to work?
i use C and i make pretty similar programms programms, should i switch to c++?
I can get you a little more more than you can get on and you a little more more than you can get you a little more more than you can get you a little more bit of it can get you a little more more than you can get you a little more more:
Is it just me or does this look like an elecricity thingy? (Density view)
I'd like to see a simulation where the ants are enclosed in a large area completely filled with food, with the home in a corner (and the immediate area around it empty). I think it would be interesting to see how the ants harvest such a massive resource supply. Will they reliably find the closest bit of food, thus creating a growing radius devoid of further food? Or will they dig into the supply in a single direction and carve out a linear tunnel, changing direction only when that tunnel reaches the far wall? Or something in between?
This is basically the monkey typewriter thing. You slip out a huge amount of ants and eventually one will solve the maze, then the rest fall in line. Super cool stuff.
Ants are terrible at solving mazes. Water is much better. But ants look really cool.
Whato do you mean by "Markers View"? Great video!
Forget A*, ant simulation is the *real* best pathfinding algorithm.
Just left a comment in another video of yours that I wanted to see this in a video. Here it is. Excellent
It almost looks like gas diffusion simulations, and then electric arc simulation.
This is art. Anyone know the name of the techno music that's being used here?
Maybe what you could do is program the ants to eat other types of ants and then have a battle waged over in a maze or something just an idea
Why were so many ants trapped on the right side of the complex maze?
A ant in the complex maze is like the size of zoom in crouch end crystal in minecraft
Came for antz, stayed for chill techno vibes
There are two sub optimal locations that never seem to fully optimize
Damn at the end this smile face start's being little creepy as bloody red monster xD
new pathfinding algorithm just dropped: the ants