Evolving AIs - Predator vs Prey, who will win?

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Pezzza's Work

Pezzza's Work

День тому

00:00 Introduction
03:16 Simulation
10:19 Timelaps
11:22 Ending
Music used (same order as in the video)
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КОМЕНТАРІ: 3 000
@puzzLEGO
@puzzLEGO Рік тому
I love how the prey can also move backwards at the same speed, meaning they can run away from the predators while staring at them the whole time
@1080GBA
@1080GBA Рік тому
OMG its you
@user-lh5hl4sv8z
@user-lh5hl4sv8z Рік тому
It’s more helpful for predators to move backwards, they have a limited sight
@GaliantSilverhawk
@GaliantSilverhawk Рік тому
Yeah. the prey that were dodging were fun to watch. I just wish they had stationary food to eat to gain energy,, because after they dodged amazingly, then they got tired and became sitting ducks
@tomascernak6112
@tomascernak6112 Рік тому
You did not get it, preys have 360 degrees vision. Eyes are just cosmetic feature with no influence.
@baltulielkungsgunarsmiezis9714
@baltulielkungsgunarsmiezis9714 Рік тому
I hate that, I think this shouldnt be the case.
@ChristosAnagnostakis
@ChristosAnagnostakis Рік тому
As a biologist, I think this simulation could be a useful educational asset for schools! It could be considered as an accurate representation of the Lotka - Volterra model, which presents the changes of prey - predator populations over time.
@jamalyeboah4322
@jamalyeboah4322 Рік тому
I agree, as a biologist myself I was really impressed with how well this simulation demonstrates predator-prey interactions. We even see numerous adaptations in both the predator and prey populations. The prey population for example began creating herds at some point where individuals at the center were more protected. Truly awesome work.
@therealfwedbear
@therealfwedbear Рік тому
@@jamalyeboah4322 Same with how the predators would start working together or approaching the prey from behind.
@Eggrolllllliscool
@Eggrolllllliscool Рік тому
I would like to have that at my school
@dlastwire5365
@dlastwire5365 Рік тому
bro this has been done soo many times let the man have his simulation there are more that are better then his
@WDuckyy
@WDuckyy Рік тому
@@dlastwire5365 And who asked smart guy? Why don’t you go watch them then.
@digitalisdizzy
@digitalisdizzy Рік тому
It was interesting seeing the predator's numbers drop shortly after the prey numbers drop, and seeing them rise when the prey numbers rise. It shows how dependent on prey they were.
@Smitology
@Smitology Рік тому
It's basically the fox and rabbit equation. If one variable (predator count) increases at a rate based off of another variable (prey count), and that variable decreases at a rate based off of the other variable, they form a cycle of increasing a decreasing, with the predators being about 90 degrees behind in phase.
@barritoothy
@barritoothy Рік тому
Food web
@poro3246
@poro3246 11 місяців тому
It was surprisingly interesting to see how low the numbers could drop and then skyrocket back to the max. It should put us to think before trying to intervene when observing changes in the ecosystem. It's part of dynamic balance.
@digitalisdizzy
@digitalisdizzy 9 місяців тому
@@robwilliams6753 if there were no more arguments, your ego would drop off too
@LateLater1
@LateLater1 5 місяців тому
@@digitalisdizzydamn..
@Blackicon97
@Blackicon97 Рік тому
Prey's group movements, in the latest stages, are surprisingly similar to those you can see in bird flocks or shoals of fishes
@hyperblueeonbeta
@hyperblueeonbeta Рік тому
I noticed that as soon as they started grouping, and the predators behave like wolves.
@udittlamba
@udittlamba Рік тому
@@hyperblueeonbeta they would converge to wolf like behaviour if there was communication mechanism between the predators.
@hyperblueeonbeta
@hyperblueeonbeta Рік тому
@@udittlamba I was stating that multiple predators can be observed "attacking" a prey.
@toetruck1589
@toetruck1589 Рік тому
i mean yeah prey animals usually like to stick together
@testerwulf3357
@testerwulf3357 Рік тому
@@toetruck1589 Some prey get super territorial, but most seemingly stick together (strength in numbers and easier to blend in with a group making it harder for predators to pick out any individual)
@entitxy_4810
@entitxy_4810 2 роки тому
A small modification you can add is making entities use more energy when going especially fast, and practically no energy when moving slowly. This may encourage preds to try searching for prey more than just spinning, and allow prey to dodge more
@NeoWish
@NeoWish Рік тому
I 'm pretty sure that is already implemented
@baltulielkungsgunarsmiezis9714
@baltulielkungsgunarsmiezis9714 Рік тому
Moving backwards should also come at a speed pentalty.
@EEEEEEEE
@EEEEEEEE Рік тому
‎‎‎‎‎‎‎‎‎E‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎
@JMaximusIX
@JMaximusIX Рік тому
@@baltulielkungsgunarsmiezis9714 moving "backwards" is irrelevant in this simulation, the eyes are just a visual thing and the preys have their circular FOV so theres no "front" or "back" to the preys
@baltulielkungsgunarsmiezis9714
@baltulielkungsgunarsmiezis9714 Рік тому
@@JMaximusIX There is a front and back, as their sight is dependant on direction.
@lisyarus
@lisyarus 2 роки тому
Incredible work! Amazing idea & very fun to watch. This "crisis" periods are characteristic of predator-prey models, see e.g. the Lotka-Volterra equations.
@PezzzasWork
@PezzzasWork 2 роки тому
Thank you! Didn't know about Lotka-Volterra, thank you for the reference! it is always fascinating to see a natural law emerge spontaneously from a simulation
@oscareduardofloreshernande7853
@oscareduardofloreshernande7853 Рік тому
Yeah!!! I was thinking about those differential equations (lotka-volterra, predator prey model) And I would like to see the whole simulation but without an upper boundary to see what happens. Pretty nice work!!
@AuroraVeil_
@AuroraVeil_ Рік тому
I worked on a project with L-V equations so I don't wanna mention how hard my heart sank when I noticed that they were following an L-V model lol
@axman6815
@axman6815 Рік тому
Love seeing the expected periodicity in the predator and prey population sizes in the bottom right, shows you did a pretty solid job modeling :)
@dhercar
@dhercar Рік тому
@@oscareduardofloreshernande7853 I coded something like that (but way less fancy and without evolution) as a toy demonstration of the lotka-volterra limit cycles for a uni assignment a year ago: ukposts.info/have/v-deo/f2SiqGuaiomXmoU.html
@tfsho
@tfsho Рік тому
Seriously awesome end screen there, actually did not see that coming, very cool!
@PezzzasWork
@PezzzasWork Рік тому
Thank you!
@SpaceboyGalaxy
@SpaceboyGalaxy Рік тому
@@PezzzasWork it was very cool! I also have an idea: what if some predators/prey are slightly different speeds than their parents? They could be slightly different tints, and I was wondering how that would work out.
@georgeund7533
@georgeund7533 Рік тому
Honestly, its so mind-bogglingly interesting that you recreated survival of the fittest in such a simple but thorough demonstration.
@simonenoli4418
@simonenoli4418 Рік тому
i wished he could also make a variable for actual "physical" fitness. Eg, give predators and prey a standard deviation of energy and speed. cause that would have proven even further evolution through fitness.
@DG-iw3yw
@DG-iw3yw 3 місяці тому
Less like "survival of the fittest " and more like "The perishing of the maladapted"
@jackbadley4890
@jackbadley4890 3 місяці тому
​@@DG-iw3yw Fundamemtally, that is moreso how evolution works
@pharaway05
@pharaway05 Рік тому
This is awesome! Here are some interesting ideas. 1. Add a third entity to simulate foliage. It is static, grows at a steady pace, is eaten/sought out by the prey, and neutral to the predators. This would cause concentrations of areas that the prey will sit similar to feeding grounds/oasis. 2. Set random evolution parameters with speed, energy depletion, digestion, & splitting. With things like capped/floored energy. Quicker or slower speed acceleration. Etc. It'd be interesting to see if low energy, quick accelerator, low cap speed prey outruns a fast energy burning, no capped, floored speed predator. 3. Maturity. Add in a maturity/size variable that dictates speed, energy, etc. Smaller prey gives less energy but is easier to catch, etc.
@teet1337
@teet1337 Рік тому
No.
@lucianocastillo694
@lucianocastillo694 Рік тому
@@teet1337 bruh it’s a good idea
@daveross1638
@daveross1638 Рік тому
see if any of the predators start eating foliage and start holding Signs saying eating Prey is Murder
@jakewhitehead4911
@jakewhitehead4911 Рік тому
There is a game u can download called the bibites that sounds extremely similar to what u just said. Lowkey think this guy got the idea from that.
@Mr.Engine993
@Mr.Engine993 Рік тому
I'd love a remake of the video with your ideas included
@markc.7984
@markc.7984 Рік тому
So interesting! I'd personally love to see two features added: 1. prey grazing. The longer the prey sits in the same spot, eventually that spot has been over-grazed and provides no more energy, so the prey will have to keep migrating around the map for more to eat, while the depleted areas gradually grow back. 2. terrain. Say one corner of the map is "rocky" and movement is halved or quartered, how might predators and prey evolve to be suited for that terrain? Will prey sit up there like mountain goats, while the predators can't get up there to get them before starving? Thanks for making this simulation, and for sharing it with us. I'd love to see more.
@dmicsa
@dmicsa Рік тому
exactly this were my toughts too! I even went a step further to add clime as well rain, temperature, etc. :)
@mtolives
@mtolives Рік тому
I would add prey defences just like in nature such as deadly horns, kicks, and stampeding.
@KeytarArgonian
@KeytarArgonian Рік тому
@@mtolives exactly, or even something like mobbing by prey, protecting young by prey, threat perception by predators. Some form of aggression/deadliness modifier. Could be done by rng? Eventually those with a higher aggression number would breed, but the counter aggression/deadliness by predators would also be forced to evolve. The proverbial ‘tooth and claw’ evolutionary mechanics. Evolutionary arms race we see irl.
@gunh4129
@gunh4129 Рік тому
I agree with Mark. 1. Prey should also the predator of lesser being, like plant. So they also have to find their food. 2. Predator should have bigger feature than the prey. 3. Terrain, aka Hiding place. There are should hiding place all around the map where predator has bigger problem to reach it. But because prey also need to find food, they eventually has to get out of their hiding place. Make both prey and predator a bit more complex. like they should also need to sleep.
@2rslvl126
@2rslvl126 Рік тому
@@gunh4129 AI, like ants do not require sleep in order to function. They do however, require energies.
@mathiasjoshp
@mathiasjoshp Рік тому
You should add a grazing effect! Like prey can only regenerate energy and reproduce as they move over the area, but with a lawnmower effect that has to regenerate the resource the prey eat overtime, so the prey can "overgraze" an area in the absence of predators!
@elijahyes3110
@elijahyes3110 2 місяці тому
thats what the resting represents
@alrineusaldore6764
@alrineusaldore6764 Рік тому
I love how by setting such simple rules you could get such a complex result. Evolution AI really is amazing!
@AngeTheGreat
@AngeTheGreat 2 роки тому
It's pretty interesting how the prey entities seem to display herd behavior at times. Very nice simulation! Edit: I meant for this to just be a quick comment about what I thought was an interesting pattern emerging in the simulation. I didn't think it would actually get so many likes... I know/knew that prey are not able to see each other, in fact, that's exactly why I thought this was interesting in the first place and many times in nature you can observe what APPEAR to be social behaviors emerging out of asocial processes. Some people seem to think this is an obvious or trivial pattern that is not worth consideration. I wouldn't jump to such a hasty conclusion. Yes, it is true that the herd does not physically stop predators, BUT it does block their line of sight and predators could develop hunting tactics that discourage them from entering the herd (which prey could take advantage of). Over time you may even see societal roles develop in which active individuals circle the outside of the "herd" while avoiding/distracting predators, while sedentary individuals reside within the herd where they thrive (thereby creating these large clusters). I don't know the exact details of the neural network that was implemented here so this is ultimately all just speculation. Perhaps the herds ARE just random areas with higher reproduction rates (although this very fact already suggests an evolutionary advantage to such a structure) but nonetheless I still find this interesting to ponder and analyze. I stand by my original comment that it is an interesting observation and certainly a thought-provoking simulation.
@Hailfire08
@Hailfire08 2 роки тому
I don't think they can see each other, I think since they reproduce when they stay still, they tend to grow into big colonies together just because that's where they were born
@PezzzasWork
@PezzzasWork 2 роки тому
Thank you! Your turn to do a video now :D
@AngeTheGreat
@AngeTheGreat 2 роки тому
@@Hailfire08 There's a reason why I said "seem" lol... I've actually written some similar simulations before where the entities *appear* to display social behavior, when in reality they have no idea that any other entities like them exist, I just think it's an interesting example of emergent behavior
@AngeTheGreat
@AngeTheGreat 2 роки тому
@@PezzzasWork I was actually just working on editing my next video and I took a break to watch yours haha
@PezzzasWork
@PezzzasWork 2 роки тому
Nice! I will be there when it is published!
@Lithane97
@Lithane97 Рік тому
It seemed like at some points the predators had "evolved" to leave the herds of prey alive, instead circling around the edges in order to pick off enough to survive, but not kill the food source. More tiers of predator would be interesting, to see if you could create a perpetual cycle of predators that keep each others population down to prevent the extinction events in this video.
@Zenovarse
@Zenovarse Рік тому
So humans farming and herding is predation behaviour.
@Lithane97
@Lithane97 Рік тому
@@Zenovarse Not necessarily, as predation is the act of 'hunting' a prey. Humans have in the past derived a large amount of food from hunting, however farming and herding is separate from hunting. They are born and raised in a captive environment and then slaughtered, there is no hunt or predatory behavior, it's simply a life cycle that's controlled from start to finish by the harvester.
@luedog8385
@luedog8385 Рік тому
@@Zenovarse it did resemble how dolphins herd fish into balls in order to catch them easily
@zickentrainer
@zickentrainer Рік тому
@@Lithane97 ehem, yes and no.. It's different but same at the same time.. There is a step between domesticating the prey and pure hunting.. Population control.. You don't hunt in special times, even if you could.. You hunt animals that have "overpopulation" or endanger you otherwise, this makes hunting more efficient.. And domesticating is then just the next step.. U get rid of the need to put energy into finding the prey..
@luedog8385
@luedog8385 Рік тому
@LEO&LAMB YES
@daydreamerization
@daydreamerization 10 місяців тому
So freaking cool! Evolution, prey-predator equilibrium, resource competition. So many things shown in this simulation. Terrific job!
@jessicagraf8430
@jessicagraf8430 9 місяців тому
0:57 "I mean, I am just a dumb bunny, but we are good at multiplying." -Judy Hopps
@DIVECRAFTGAMER_VODS
@DIVECRAFTGAMER_VODS 2 місяці тому
dmub bnnuy
@Waffle_6
@Waffle_6 2 роки тому
its like a second christmas when you upload, love the stuff
@yell9140
@yell9140 2 роки тому
I agree
@PezzzasWork
@PezzzasWork 2 роки тому
Thank you, this comment is like a second christmas to me :)
@eliminar7778
@eliminar7778 2 роки тому
Idea: make it, so that each time they split, they randomly change they fov and range of the rays. Those with higher fov and range may for example consume more energy, but they can see so much more. Therefore we would see if finaly evolution decided to go with higher fov and range or lower to consume less energy. Also, cool video. Thanks for likes
@beaconblaster33
@beaconblaster33 Рік тому
add stress level? more rays adds more stress/time but you can temporarily disable the rays (closing your eyes) to reduce stress/to rest moving a lot also increases your stress level if it goes to 100% you die
@Smitology
@Smitology Рік тому
Yes, and make predators and prey start with the same FOV. That way making predators and prey having the FOV they had will not seem like an arbitrary decision, but rather one that evolution favours.
@drakebalzer2098
@drakebalzer2098 Рік тому
Prey would likely favor higher fov since they only need to sit still. If there aren't a lot of predators, they'll have plenty of time to sit around. However, if there are more predators, prey may favor lower fov so that it can run for longer.
@cotoneyejoe5
@cotoneyejoe5 Рік тому
You should add health bars too. Instead of it being a one-hit kill with the predators, make it a 2-hit kill or randomize the damage, or base it on other factors that can develop with the evolution. The best bart though is why not let the prey do a little bit of damage? Make it so they do 10% or so damage to the predators max health so when the predators dive into the big pools of sitting prey, they have a chance of not coming out alive. Could randomize their damage too and a way to regen health, maybe. I feel like you wouldn't want to make their lifespans last longer for the sake of the speed of the simulation.
@pussygetter4465
@pussygetter4465 Рік тому
watch bibites
@Memer9456
@Memer9456 Рік тому
This is the epitome of “Tough times create tough men. Tough men create easy times. Easy times create weak men. Weak men create tough times.”
@quaternion
@quaternion Рік тому
Nice 😉
@simonenoli4418
@simonenoli4418 Рік тому
Completely wrong. you completely disregarded the point of the demonstration, overlooked the interdependant variables. everything. in this simulation both prey and predator GET STRONGER OVER TIME! always! this how the simulation is SET! there is no "tought times" or "weak man/creature". its a cicle that CANNOT and i repeat CANNOT be extrapolated for HUMANS. and you know why? cause the biggest predator of humans, are HUMANS!
@amin56754
@amin56754 Рік тому
I think we are in in 3rd stage right now..
@attackehh
@attackehh Рік тому
@@amin56754 Dude your like 5, stop making everything edgy
@Anti-InternetTroll101
@Anti-InternetTroll101 Рік тому
@white lady gaming what did they say?
@DailyCorvid
@DailyCorvid Рік тому
This is one of the coolest most entertaining things I have seen in ages! Bravo the concept; and well engaged well produced too. Top class.
@MrMaselko
@MrMaselko Рік тому
It'd be interesting to see what they would do if they could detect their allies as well, maybe have the view blocked by them too. Maybe the predators would avoid eachother to get a better view and not risk having their meal stolen, and the clumped up prey would only know what's happening by observing the movement of their herd.
@EEEEEEEE
@EEEEEEEE Рік тому
E‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎
@MrMaselko
@MrMaselko Рік тому
@@EEEEEEEE E
@danieljmarvin
@danieljmarvin Рік тому
Maybe there would learn to farm the prey by just standing close to them while surrounding them so that they have a constant source of food.
@superboi
@superboi Рік тому
I think they can see each other. They start hunting in groups at one point.
@awc3651
@awc3651 Рік тому
@@superboi If they move in the same direction they don't split. And they move in the same direction because they have similar brains.
@haseebafridi8262
@haseebafridi8262 Рік тому
It would be great to have a mutation/evolution function where there's a random chance for the predators and prey to upgrade a certain skill, whether it be observation, or speed of travel, or energy efficiency, or angle at which they can turn; I think it would allow the populations to become much more successful at hunting/surviving
@nicholaslogan5185
@nicholaslogan5185 Рік тому
I did something similar to this once but with the addition that it cost more energy to stay alive the more upgraded it became so it had to be able to utilize the new speed/strength/etc effectively. It allowed for speciation into cheetah types, tank types, etc. My favorite was what I called the plant. It soaked up the ambient energy (light) and had zero speed, defense, etc. Just exists
@eliasangelo1478
@eliasangelo1478 Рік тому
but there is, at 2:20 they explain it edit: 2:14
@nicholaslogan5185
@nicholaslogan5185 Рік тому
@LEO&LAMB I can't tell if you are joking or not. 😅
@haseebafridi8262
@haseebafridi8262 Рік тому
@@nicholaslogan5185 lmao this guy 😂
@christophermartin1973
@christophermartin1973 Рік тому
@LEO&LAMB In a GAN the AIs fight it out which is why these simulations are non-deterministic. They are meant to go out and try new things. We give them the building blocks for growth, and they apply those rules until they reach a point where they reach conclusions logically that were derived from the rules of logic but not concretely expressed.
@JordanBeagle
@JordanBeagle Рік тому
10:10 Didn't expect that, definitely thought predators would win
@Thesnake847
@Thesnake847 11 місяців тому
Same, even if the predators did win, they wouldn’t have any prey left so they’d die
@josch614
@josch614 Рік тому
Wow! You have the scariest and most educational YT channel I ever watched. THX. Keep it coming! Subscribed.
@DavidTriphon
@DavidTriphon 2 роки тому
I love this new trend of making your profile picture with your code at the end of videos. It's very creative!
@PezzzasWork
@PezzzasWork 2 роки тому
I don't know why I started doing this but I enjoy it very much :D
@Brick9
@Brick9 2 роки тому
It doesn't seem like prey rays intersect with prey, and vice versa. I'd be interested to see how behavior would change there, maybe flocking?
@nooby_noob_1387
@nooby_noob_1387 2 роки тому
Flocking does actually occur a lot with prey. It can be seen clearly in the timelapse.
@Hailfire08
@Hailfire08 2 роки тому
Same, it could lead to a lot more interesting behaviour.
@PezzzasWork
@PezzzasWork 2 роки тому
I will try to integrate that, with some rules to allow preys to defend themselves for example
@nooby_noob_1387
@nooby_noob_1387 2 роки тому
@@PezzzasWork this game about to become a race war with two way fights
@du42bz
@du42bz 2 роки тому
@@PezzzasWork Damn these videos are awesome. You really need to implement these nice new things and then make a video out of them again, that would be phenomenal.
@samhagman5958
@samhagman5958 Рік тому
This was very cool. The bits at the end with the graph timelapse gave quite a few thought provoking things out of it offer done.
@shep6774
@shep6774 8 місяців тому
Super interesting, would love to see further experimentation with this.
@adamwilding9520
@adamwilding9520 2 роки тому
It would be very helpful to see the graphs spanning the entirety of the simulation, so you can see any longer-term trends more clearly!
@EEEEEEEE
@EEEEEEEE Рік тому
‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎‎E‎
@libyanmapping5408
@libyanmapping5408 Рік тому
@@EEEEEEEE I concur
@Hailfire08
@Hailfire08 2 роки тому
Awesome video, especially love the googly eyes Might be interesting to give them an ability to detect fellow predators/prey, see whether they want to cluster or split up.
@Paisley_Frost
@Paisley_Frost Рік тому
And to fight back and mutate phicical power
@Ben_Hughes
@Ben_Hughes Рік тому
I really like this series, even though at the time of writing this it’s only two episodes. I can’t wait for more content about this, keep up the good work!
@timoh9101
@timoh9101 Рік тому
Wow so interesting to see, especially the time lapse! I would love to see strategical elements such as spots for food and water implemented!
@quackin12152
@quackin12152 Рік тому
Conclusion: i see the pattern as when the preys are overpopulated, they cant dodge anywhere and predators will eat through the cluster, then prey’s population went low means less food, making the predators die and giving the preys an easier time to give birth and this repeats. But then suddenly, a prey became a freaking ninja and just dodged all the predators, more of them learnt the arts of dodging and predators slowly died out due to the difficulty of hunting preys and they finally won
@notleviathan855
@notleviathan855 Рік тому
Someone figured out how mother nature works. Usually this is taught as a program in coding classes, with wolves and sheep. You can manipulate the amount of sheep, and wolves, and watch in real time that when there is more food the wolves multiply quickly and hunt sheep, but when there is a small amount of sheep a majority of the wolves die. Three Results happen towards the end of the program, the sheep manage to starve out the wolves, and explode in population. The wolves consume all the sheep, and quickly die. Or you get the numbers just right, and the cycle continues forever.
@alganhar1
@alganhar1 Рік тому
@@notleviathan855 The reality is that once the sheep population drops to the point they become difficult for the wolf to find, the wolf switches to different prey, prey that is more abundant, giving the sheep numbers time to recover. The difficulty with such models is you are modelling the interspecies relationships between a single prey and a single predator, and the real world is almost NEVER that simple. There are a few cases where it is, but they are very much the exception not the norm. Most predators rely on multiple prey species, as most herbivores rely on multiple plant species. When you start trying to model those complex interactions than the simulations both start looking very different, and climb rapidly in complexity.
@SgtSupaman
@SgtSupaman Рік тому
@@alganhar1 , it is reducible, though, to something like this, where you can just consider all predators as one group and all prey as another group. Regardless of how many of the predators are made up of wolves, coyotes, etc. or how many of the prey are made up of sheep, rabbits, etc. That simple simulation can still reach the same conclusion as real life, typically equilibrium, but sometimes the destruction of one or both groups.
@jakistam1000
@jakistam1000 Рік тому
@@notleviathan855 In coding classes? I learned that wolf/sheep example in biology!
@miloh-k7660
@miloh-k7660 Рік тому
yeah. Ideally, the predators would want to be good, but not TOO good, in order to survive. But the natural curves we see are observed in nature too.
@beanburrito4405
@beanburrito4405 Рік тому
It would’ve been cool if you had the predators and prey very slowly randomly change color within a set range to see which individuals are generally related based on how close they look to one another. It would be a relatively simply addition. Either way, amazing video!
@cursedmammottgaming5371
@cursedmammottgaming5371 Рік тому
maybe some of them would turn green to try to be an (among us impostor noise) fake prey
@jasonkrohn5416
@jasonkrohn5416 Рік тому
This was pretty cool I thought it was interesting how the circle of “life”worked. I like your simulation just the way it is, good job.
@StackerNoobUK
@StackerNoobUK Рік тому
Genuinely one of the most interesting accidental finds Ive ever had on UKposts. Great work and go prey!
@KeithOlson
@KeithOlson Рік тому
Neat! One thought for the prey is to have them 'overgrazing' cells, so, over time, their energy recovery rate drops lower and lower the longer they are in a particular cell until there is no 'food' left and the recovery rate becomes negative, forcing them to move or starve. This would emulate real-world consequences for overgrazing.
@EchoOfTheVoid
@EchoOfTheVoid Рік тому
I just assumed they gain energy from photosynthesis. xD
@jacobxiongnu2931
@jacobxiongnu2931 Рік тому
That would be great to bring irl consequences into play.
@garimeragonols
@garimeragonols 2 роки тому
Very nice video, it was really cool to see the typical hunter and hunted cycle: more prey = more predators > more predators = less prey > less prey = less predators > less predators = more prey > and again... Looking forward to your next one!
@blancanthony9992
@blancanthony9992 Рік тому
The best as far as i know, wish it evolved longer and used differents strategies over time. Si nice to watch
@njp4340
@njp4340 Рік тому
No one's talking about that one predator at 8:57 who eats like 20 prey in just over a second. Dude must have one hell of a mouth.
@zakashi684
@zakashi684 Рік тому
I love watching simulations like this, so intriguing! Others have commented some really interesting features; here are a few I thought of. - What if predators and prey were further randomly divided into male and female, and males and females would have to find each other and spend energy in order to reproduce? Would sexually dimorphic roles develop? Especially if the sexual processes (energy spent, gestation, who gives birth, etc...) differed between the types. - What if predators didn't immediately consume prey when they touched them, but instead depleted their energy, and when an organism's energy was depleted, it turned into a dead body, which only then could be eaten, and would be deleted after a set amount of time if not eaten? Could some predators perhaps develop scavenger like strategies, swooping in to reap the rewards of others' work, instead of wasting their own energy chasing and killing prey? - What if initially all the organisms had both prey and predator abilities, to varying degrees of effectiveness (some would deplete more energy from their targets by attacking them, some would gain more energy back by staying in one place, some would get better at escaping)? Would predator and prey roles develop naturally or would one weird, cannibalistic creature develop and spread?
@DavidMTheKrucifix
@DavidMTheKrucifix Рік тому
Would have to be careful with the first one, they might de-evolve and identify as something else and not breed at all! (j/k)
@UniverseofDominion
@UniverseofDominion Рік тому
@@DavidMTheKrucifix Playing w fire, my friend
@robyrobt1714
@robyrobt1714 Рік тому
@@DavidMTheKrucifix lol thats what i was thinking. that must've taken much bravery to say in a public thread.
@DavidMTheKrucifix
@DavidMTheKrucifix Рік тому
@@robyrobt1714 It's because FACTS don't care about others feelings ... Remember, that Gen X noone wants to talk about ... well their kids oare almost voting age!
@DavidMTheKrucifix
@DavidMTheKrucifix Рік тому
@@UniverseofDominion Well, I identify as NOT OFFENDED, so I don't care!
@suan22
@suan22 Рік тому
Amazing work! Is the source code available? I'd love to play with the parameters to see which one has any effect.
@AspectClip
@AspectClip Рік тому
This! Please would you share the code or a compiled executable?
@davidgreenwitch
@davidgreenwitch Рік тому
Or at least tell in which language this is made.
@dpv202020
@dpv202020 Рік тому
Pls I was thinking the same thing I would love to be abble to do this to just enjoy myself playing
@eclate95
@eclate95 Рік тому
Le dot
@tabafication
@tabafication Рік тому
Code or tut would be nice!
@x1plus1x
@x1plus1x Рік тому
I absolutely love stuff like this. I would love to see this developed further.
@moisesj.bonillacaraballo8112
@moisesj.bonillacaraballo8112 10 місяців тому
Such an interesting and nicely edited video! Congrats!
@conanthecribber
@conanthecribber Рік тому
SUGGESTION FOR THE NEXT ITERATION: Please put learning in it for reacting to the actions of your own species, instead of just interactions with the other species. This will make for interesting results because of a)"flock" behaviour of the prey i.e. they all run when spooked and b) "pack" behaviour of the predators, who might find it advantageous to move in the same direction of nearby predators. Finally I would like to see the prey interacting with the environment i.e. eating greenery. When the underlying tile goes from green (lush) to yellow (partially grazed) to brown (over-grazed), the prey have to move on.
@Nbec95
@Nbec95 Рік тому
Nice simulation, I really enjoyed watching it. Here are some suggestions: As you may have noticed, the population switched relatively quick between nearly drying out and max population. If you have the computational power, maybe try increasing the max population. You could also add more parameters to the entities and give them less restrictions. For example, don't force them to have a fixed pov. Even if the "narrow but far" fov for predators is a thing in nature, it should evolve automatically in the simulation, if its changed a bit for every new child. Also, you could try to not force the entities to be predator or prey. If you include food/plants that will naturally grow over time and give them energy, every entity can evolve to be a carnivore, herbivore or omnivore. You could even add caves/hiding places in areas with plant and let the entities evolve their sizes. You could even include a day/night cycle. There are so much possibilities! If you don't have entity classes anymore, you could make the entities appearance based on their properties: More meat as energy= more redish, more plant based food= more greenish. Wider fov= wider distance between the eyes. Anyway, really great work!
@magentamonster
@magentamonster Рік тому
When you give predators the ability to eat predators and evolve into herbivores, it's quite likely that they will evolve into herbivores. Because being a herbivore is easier, as you don't have to chase other creatures. And I think the only reason predators were able to last so long is because they couldn't eat each other. Predators eating each other would have saved them when they were starving, but it would also take away their advantage over herbivores: lack of predation. The reason predators last in real life despite being able to eat each other is because herbivores make the best meals. Plants are hard to digest, and carnivores are dangerous, provide worse nutrition and are more likely to give you a disease, especially if they are scavengers. I know that some scavengers, like vultures, stop disease, but that may be due to competing with other scavengers, like flies, and eating scavengers could still give you a disease.
@liamnehren1054
@liamnehren1054 Рік тому
@@magentamonster IRL herbivores are dumber and slower then carnivores and omnivores. BTW most of the animals that we call herbivores are actually what is called "Opportunistic Carnivores" like the humble deer which will munch on a bird if it gets the chance. true herbivores are like cows. they can stampede but are otherwise pretty slow. Also cows are among the animals that shouldn't still exist if humanity hadn't farmed them. soooo yeah, the world tends towards omnivore and predators might evolve a secondary ability to eat plants but it's more of a 50/50 if set up correctly.
@magentamonster
@magentamonster Рік тому
@@liamnehren1054 Perhaps another reason why predators evolved into herbivores and scavengers in the simulation is because it was too easy. In real life, it is complex. Many genes control diet. There is no use in an animal wanting to eat plants when it doesn't have the appropriate digestive system. And herbivores are more vulnerable to predation, so any animal evolving into a herbivore must adapt to counter the increased risk of predation. And I think that the reason why predatory traits are lost when a predator evolves into a herbivore is because they waste resources and are vestigial. Sharp teeth may make it harder to eat plants. The reason why sharp claws are lost when an animal evolves into a herbivore is probably because it is worse for locomotion, since some herbivorous, bipedal dinosaurs like Iguanodon, therizinosaurs and hoatzin chicks have them on their arms. Also, many herbivorous birds have sharp claws on their feet.
@goawayihavecommentstomake1488
@goawayihavecommentstomake1488 Рік тому
Yes. It was a bit silly that predators ignored prey close by but off to the side. They should have a simulated sense for hearing and smell or at least the ability to “glance” left and right. Could predators also use teamwork to hunt one target, and take half the energy from a kill they herd/trap?
@CTimmerman
@CTimmerman Рік тому
@@magentamonster Birds need claws to hold on to branches, bark, and masonry. All life is different, and the most fit to an environment are most likely to breed there, as evident by Darwin's study of finches.
@Idk-fj8is
@Idk-fj8is Рік тому
Amazing work! I just found your video and it is amazing!
@CSGdesign01
@CSGdesign01 Рік тому
That's cool as heck. One of the best 2D evolving prey/pred simulations I've seen. I'm waiting for a good 3D one, that's when artificial life simulators will get really interesting.
@Hyatice
@Hyatice Рік тому
If you expand on this, I'd love to see a few more selection pressures added on both prey and predators. - Second "Stamina" bar whose maximum is equivalent to 1/2 current Energy. - - Stamina regenerates/is used at a variable rate based on speed - allowing for low speed travel to still recover stamina, albeit at a slower rate than standing still. - Energy always goes down, even when standing still. The rate of decay can also be based on speed as with stamina. - Food appears in random spots, only edible by prey. - Possible bodies of water, necessary for both prey and predators. Larger ones could effectively be considered infinite while small 'puddles' could be used once and recover a percentage of the bar, similar to food. - Reproduction would be a function of energy, as opposed to lifetime. If energy > 80%, allow reproduction. Reproduction uses a percentage of energy, say 20%. The food mechanic would cause prey to compete with one another as well as with predators (as they do in real life), and I suspect that water (or even just food) and the change to stamina/energy would introduce a subset of predators that camp larger concentrations of food/water as an ambush predator.
@alganhar1
@alganhar1 Рік тому
The more pressures you add the more complex the model gets and the more inaccurate. That is the very reason why Evolutionary Models are considered by those of us who actually work in the field as imperfect tools. This is not to say models are unimportant or useless, they are not, they can and do help drive our understanding of the true complexity of the tangled web that is Evolutionary Pressure and Selection. But we always have to keep in the front of our mind that they are imperfect tools, and while useful they should not be taken as gospel. The problem is they are simplistic. No computer can handle the huge number of variables that are all traits of a single organism responding (so being selected for or against) by the environment in which the organism lives. Bear in mind that environment does not just include inter specific competition or interactions, but intra, as well as the innumerable reactions to the physical makeup of that environment. And this is before you add the elephant in the room that is random mutation. Now most Evolution is essentially selective pressures working on traits that are naturally variable in any population of sexually reproductive organisms. Usually mutations are either neutral or deleterious and either remain in the population not doing much, or a swiftly weeded out in the case of the deleterious mutations that have no positive advantage. Occasionally however you get a mutation that is advantageous, and it spreads like wildfire. A good example is the rise of Lactose Tolerance in humans. Go look at mammals and see how many are lactose tolerant in their adult years. Humans are literally the only example, at least as far as I know and I am fairly up to date. That is a mutation that arose some time early in the history of domestication. That is pure random chance, and no computer on the face of the planet, now or likely ever, will be able to come even close to modelling the effects of random mutations!! Including I may add humans themselves!!
@Hyatice
@Hyatice Рік тому
Well, the goal of these is rarely to emulate life or reality, as usually the only thing that is being 'mutated' between generations is behavioral choices. E.g. generation 9774342 is just as fast/slow as generation 1, but the later generation has developed the ability to control its rigid physiology better. Barring the AI finding a 'hack' as they often do when tasked with a gamified task and goal, I fail to see how it could become more inaccurate (at showing the rise of behavioral changes in response to environmental stimuli)
@TravisTheArtist
@TravisTheArtist Рік тому
It would be cool to split this into four groups, Plants, herbivore, Predator, and omnivore. Predators could gain a small amount of energy for eating other predators encouraging them to compete against each other. Plants mutations could be how they spread and maybe add a digestion or movement cost to the herbivores Omnivores could have more food choices bot not be as adapt at digesting either. I would be curious to see how added competition groups would change the result, or if you could build a digital terrarium.
@Ze_Chevalier
@Ze_Chevalier Рік тому
Pretty sure Omnivores have a huge advantage, but it would be interesting to see if it creates some kind of never ending cycle where nobody ever wins
@TravisTheArtist
@TravisTheArtist Рік тому
@@Ze_Chevalier My thought would be omnivores couldnt 1v1 a predator, and they would have more access to food but have a disadvantage at the nutrient gain as they arent specialized in digesting any type of food. Maybe they could even require a balanced diet and a mutation could effect the spread there, but that could be making things too complex.
@esajpsasipes2822
@esajpsasipes2822 Рік тому
@@TravisTheArtist dead animals leave bodies which can then be eaten by meat types, and depending on how much of the body is left uneaten (maybe it has 5 small food points), it will then cultivate plants in that area after some time
@lookdawg187
@lookdawg187 Рік тому
@@TravisTheArtist The prey in this simulation would be the plants, they are the begin 'food'. The predators in his simulation would be the herbivores, they hunt the plant. If you make the omnivores eat herbivores and plants, that's 1 competition between omnivore and herbivore for plants. Then make predator eat ominvore and herbivore, 2nd competition between omnivore and predator for herbivores. If you make predator eat predator, then the moment it spawns a new generation, it would see it's offspring as food, and the offspring sees parent as food. Simulated cannibalism ;)
@user-fx3dv2vg7m
@user-fx3dv2vg7m Рік тому
If u want to add canibalism, then u need to add gender and multiplication with it, or u end up with one predator eating his own children
@andreaslukas2252
@andreaslukas2252 Рік тому
Your work is amazing! Love it
@mynyasabut
@mynyasabut Рік тому
A masterpiece! I loved it, the best model i've seen to explain evolution
@dmitriivanov7143
@dmitriivanov7143 Рік тому
Damn, I was kind of hoping they'll find a balance and learn to co-exist. Nonetheless, amazing job!
@MuhammadBilal-mf2il
@MuhammadBilal-mf2il Рік тому
well it's possible to co-exist on some patches of mutual benefit in civilized society, this example was not one of those lols
@peterintrouble7353
@peterintrouble7353 Рік тому
From the point of view of a single prey or predator, they did co-exist quite a bit. Everything comes to an end.
@samueltrusik3251
@samueltrusik3251 2 роки тому
Can`t wait for this to get REALLY complex.
@brunovb2650
@brunovb2650 Рік тому
Man, this video was amazing! Here's my like, sub, bell, and loyalty.
@Loller521
@Loller521 Рік тому
I like how you've set it up. Especially the narrow and wide fields of view for them, just like in real nature 👍
@F4T4L3RR0R
@F4T4L3RR0R Рік тому
Once the prey learned to exploit the weakness of the predators, being dodging, getting them tired, and getting them to die out, they have managed to gain the upperhand. as they didnt need as much as predators to stay alive. they could focus on others weakness on the main spot over their own. Certainly interesting.
@fishxw9470
@fishxw9470 2 роки тому
damn, this is really impressive
@MarbleScience
@MarbleScience Рік тому
Great work and really fun to watch!
@andrestoro2391
@andrestoro2391 Рік тому
These are good, keep them coming!
@jessiejames8253
@jessiejames8253 2 роки тому
Cool video, but the colours you chose make it impossible to tell the two types apart if you are colourblind ( at least, they do for me :/ ), if you do something similar to this again could you try avoiding red/green combinations? Edit: did a quick Google search for other colour combos to avoid: Green & Red; Green & Brown; Blue & Purple; Green & Blue; Light Green & Yellow; Blue & Grey; Green & Grey; Green & Black Those should cover pretty much every type of colourblindness, some good combos might be yellow/purple, red/cyan, etc. mostly complementary colours with a lot of contrast, I'm sure there's one that would still look nice while being easy to tell apart.
@protondium_8927
@protondium_8927 2 роки тому
Don't forget Orange & Yellow, I'm not colourblind but I have a friend who has trouble differentiating the two
@Zedryx69
@Zedryx69 2 роки тому
Black and White on a Purple background would be perfect, I'm assuming.
@chad_bro_chill
@chad_bro_chill 2 роки тому
Is there some kind of filter that you could use that could replace green/red with yellow/blue? Maybe a monitor setting? Obviously that wouldn't work for everything, but for situations like these where it's specifically the green/red that you wish to tell apart.
@henrymccoy2306
@henrymccoy2306 2 роки тому
@@chad_bro_chill Yeah I feel like this is the kind of thing that a browser extension could probably fix for him for any future issues he might have. Dalton is the one my friend uses iirc
@jessiejames8253
@jessiejames8253 Рік тому
@@chad_bro_chill as far as I'm aware there's nothing that can do this well, at least not on mobile which is where I watch most videos. Besides, with ~1 in 20 people having some form of colour vision deficiency designing things in an accessible way is important, and red/green is possibly the least colourblind accessible combination you could choose.
@jolish85
@jolish85 Рік тому
I love this. I'd like to see what happens if they could intersect with entities of their same kind and distinguish between who is friend and foe. You could have clusters of prey that move like a bank of fish, and predators that team to circle the prey
@Waterdust2000
@Waterdust2000 Рік тому
I think you have found one of the source codes of life. This almost accurately displays how things work here. Very good job! 😎
@noahreaver8375
@noahreaver8375 Рік тому
Is it normal to feel emotional when watching things like this? The music helps the feeling... This is beautiful
@Cryanister
@Cryanister Рік тому
I want to see more of these kinds of simulations. Some with even more abilities, like sprinting but consuming more energy. Different evolutions of seeing, like bigger fov or an increase in range but narrower etc. Maybe some with the ability to hide, by appearing further away than they actually are if they arent in the center of the fov of the predator. It's a really cool simulation.
@peleghportal8244
@peleghportal8244 Рік тому
Damn nice! Love it! Is the source code available anywhere? I would love to see it and maybe run a simulation myself. Awesome work, really well done!
@lakshyagoel9661
@lakshyagoel9661 Рік тому
You found the code yet?
@ChristopherOBrienPSU
@ChristopherOBrienPSU Рік тому
Same here. Looking for some good example code to study for this type of simulation. This one is super polished, love it.
@the4thCuber
@the4thCuber 11 місяців тому
Would also like the code
@Rex_Hu
@Rex_Hu Рік тому
This is one of the greatest videos I've ever watched!
@AgileGamer0
@AgileGamer0 Рік тому
This was very interesting when thinking about how life like you made it!
@TheBembp
@TheBembp Рік тому
Very interesting (and well made video). I wanted to talk about two things: - there is a small bias: if the predator wins, the predator loses. Do you think it could have had an effect on the outcome? - dobyou have an explanation about the fact that the avg lifespan of prey never gets high? Could it be from a bias in the hypothesis, or just an effect of the survival strategy? Thanks for your work
@firewoodloki
@firewoodloki Рік тому
I think the avg lifespan of prey because the predator will catch on in numbers. More prey, more predator. Less prey, less predator.
@Anthracite_coal
@Anthracite_coal Рік тому
I'm not sure if there is much bias when the simulation is based on whether or not the predators can hunt all the prey, and both the predators and prey look like they have their own advantages, being the predators can kill multiple prey in a row and the prey don't need to seek for food for energy or survival
@squotty_patty4478
@squotty_patty4478 Рік тому
I don't really think that it's the bias when predators win and lose simultaneously. If irl predators would eat everything they can, they would simply die of starvation. The more biased result for me is that, when prey wins, they could also lose. Why? Cause irl they would also eat up everything they can, and in one moment they also might run out of food. Still, the greens can start growing back, so when the prey population decreases, the food amount will grow etc. So yeah, it's pretty natural that if predators win they lose, for predators to live on they just can't eat all the food in opposition to prey, where food has a chance to grow back automatically
@squotty_patty4478
@squotty_patty4478 Рік тому
Casual Geographic has a video about "biologic Jenga" on his channel here, look it up
@Anthracite_coal
@Anthracite_coal Рік тому
@@squotty_patty4478 if the prey starts eating up all the green they'll cause a collapse in the ecosystem for many other animals, namely destroying food sources and allowing for the plants that they don't eat to further push out other plants and cause mass erosion and all that. At least that was the case when the elk population shot up after wolf extinction. Young aspen and willow trees got ate, the beavers almost went extinct, wetlands became rivers and tore up the soft ground, and the coyotes ate pronghorns into the floor.
@runningonempty9980
@runningonempty9980 11 місяців тому
6:51 "Don't touch me buddy!!! Here, eat my child instead"
@vanguard9067
@vanguard9067 Рік тому
Love the evolution soundtrack. Whenever anyone talks about evolution again, this music is going to play in my head. Thank you.
@caigner
@caigner Рік тому
Brilliant! I can imagine how life started to diversify in the ocean like this.
@sleepy_dobe
@sleepy_dobe Рік тому
This was really fun to watch. A lot of times, the Preys were close to extinction, before coming back with a vengeance. But this was done with each entity acting on its own and responding to inputs from its own network. I wonder how the experiment would go if entities were to communicate with others of the same kind and even coordinate their actions. I also noticed that Predators tend to zero in onto one prey and pursue that prey single-mindedly even if another prey happens to come alongside parallel to it and would be eaten if the Predator just made a 90deg turn to this new prey. Wonder how the results might be changed if this algorithm was programmed into all Predators. This is a very interesting experiment. A lot of scenarios and parameters that can be tested. Even including making the borders solid such that entities "bounce" off them instead of exiting and rejoining the board from the other side.
@pelicannot.
@pelicannot. 2 роки тому
God I love it when you upload. Could you add more species by any chance, with an whole food chain?
@infiniteplanes5775
@infiniteplanes5775 Рік тому
I was also thinking about what strategies would evolve in the organisms with both a prey and a predator, since those tend to be the most interesting creatures in real life
@giovannimoschetti7902
@giovannimoschetti7902 2 місяці тому
Very nice example about Lotka-Volterra equation. Well done!!
@subhajyotibanerjee279
@subhajyotibanerjee279 Рік тому
Definitely would like more of these simulations..some of the things I noticed are so very interesting
@xaver115
@xaver115 Рік тому
First of all, amazing video! How did you realize the simulation? Did you use a game engine or plain code? And would you mind sharing your code? ^^
@lmprogramming8688
@lmprogramming8688 2 роки тому
I love your channel and everything you do so much! All your videos are so interesting and good and I love it! You might even push me to learn C++ and make this highly optimised projects myself :D Can't wait till I return to programming after my highschool finales! Loved your little ants especially...
@Angry_ni-
@Angry_ni- Рік тому
That was a close battle! And the ending was so creative!
@bustupstonkers797
@bustupstonkers797 11 місяців тому
That's the most innovative outro I've seen on yt🙌
@werferyt6092
@werferyt6092 Рік тому
It'd be really interesting to see a version of this with a larger board possibly filled with some obstacles and give the prey's network the ability to see how much time they have left until they split so they could maybe evolve behaviour such as strategically having children in a specific place to avoid predators. Either way, very nice content, loads of fun to watch
@dirkphillips9311
@dirkphillips9311 Рік тому
As well as possibly having a second type of predator which only preys on the first type but has larger energy storage
@kingofgranges
@kingofgranges 2 роки тому
Amazing work as always! 👏🏼 Could you tell us a bit about the specs of this simulation? What engine you are using and on what hardware? Also, is what what see the actual simulation playing in real time or is it the render you get after weeks of computation ?
@PezzzasWork
@PezzzasWork 2 роки тому
Thank you! I am not using an engine, it’s written from scratch using c++ and bgfx for the rendering. What is shown on the video is the actual 14 minutes of simulation running in real time on an m1 MacBook Pro. This program is currently single threaded so it could run faster but it was enough for the purpose of this video
@kingofgranges
@kingofgranges 2 роки тому
@@PezzzasWork wow thanks for your reply, now I'm even more impressed! Crazy to think about all that is going on (even without rendering) on one part of a single chip 🤯. Also amazed that you could set this all up, seems like a lot of hidden work I underestimated, thinking you used an existing game engine or something... Contrats !
@Qwark909
@Qwark909 Рік тому
Was going to subscribe regardless, but that outro was just the cherry on top
@1990SammieJ
@1990SammieJ Рік тому
This is spot on, nice animation of predator prey relationships! I would however be interested how a second predator would mix things up
@soliderarmatang5664
@soliderarmatang5664 2 роки тому
I always look forward to your new projects, so neat and clever, did you use SFML again?
@PezzzasWork
@PezzzasWork 2 роки тому
Thank you! I am now using BGFX instead of SFML
@paulnibart1870
@paulnibart1870 2 роки тому
Amazing work ! would be nice to play with the values to have a convergent system !
@penniesshillings
@penniesshillings Рік тому
Incredible. Very well done!
@jmr_odysseus
@jmr_odysseus Рік тому
Definitely GREAT! Thank you so much
@a-blivvy-yus
@a-blivvy-yus Рік тому
Not that it would be testing the AI itself directly, but I'd love to see vision as another randomly adjustable variable alongside the AI behaviours when splitting. Make a variety of vision range/arc settings with even distribution between (and extending beyond) the current values, so they're still at least roughly balanced but some are more useful for spotting things far away, and others for seeing targets coming from any direction. I'd be curious what the vision arcs for the most successful creatures of each type would turn out to be over time.
@thejanitor5671
@thejanitor5671 Рік тому
Cool to see how at first the predators were using a simple side to side strat to eat but as the prey got better at dodging they also had to get better. Also nice to see how the prey looked like they were flocking together (I get that It’s because that it’s safes because they cannot deftest each other)
@Messier_58B
@Messier_58B Рік тому
Increíble... Me encanta el final!!!!! Exelente Trabajo Eres Impresionante
@GMIosi
@GMIosi Рік тому
Loved it, great work.
@nihalpushkar3315
@nihalpushkar3315 Рік тому
Great work. If possible could you share the source code, and little explanation on the neural network part as well.
@chrisroode
@chrisroode Рік тому
Hey, this is awesome! I totally want to mess around with this simulation myself...but also respect your code. Any recommendations on tools to use to make this kind of thing? Will you put the source code up?
@diogofidalgo2202
@diogofidalgo2202 Рік тому
After watching some of those videos i started making my own in c++ 😅
@sebastianr.1919
@sebastianr.1919 Рік тому
@@diogofidalgo2202 I would really like to know the tools you use. I am really interested in this kind of things, and I am studying programming, so this could be a great concept to investigate.
@diogofidalgo2202
@diogofidalgo2202 Рік тому
@@sebastianr.1919 C++ and a 2D game library called allegro. I draw everything on ms paint. Since i learned programming by myself my skills are very limited. For example the view range is a circle, they have a mutation called "eyes" with 5 lvls. At lvl 5 u see the creature with 5 eyes. Legs is also a mutation that affects run speed. The brain however is not this good, they have some things that change, migration direction, diets, colors they eat (8 or 9 colors) and hunting true or false.
@mirkogiljaca1051
@mirkogiljaca1051 Рік тому
Great Work, thank you Pezzza. ;D
@rockphoenixyedduofficial6890
@rockphoenixyedduofficial6890 10 місяців тому
The ending was glorious man!
@dischorddynne
@dischorddynne 11 місяців тому
2:47 *side eye*
@techisaut8900
@techisaut8900 Рік тому
@6:35 bro got blocked and got eaten, that was not on him! that was prey on prey violence!
@luiluke_
@luiluke_ Рік тому
Duude, that's one of the best videos I've ever seen
@helland11
@helland11 8 місяців тому
I wonder what happens when many items are available in the detection rays at once. E.g., I understand that closer items send bigger signals to the network, but when do you decide what to do? E.g., you have 10 items crawling near you, and every one of them sends some signals (by the way, do you send coordinates of the objects or something else? If so, how do you control the signal strength) to NN one by one. NN produces some output for every signal (as I see two values). When the entity decides to act in the case?
Much bigger simulation, AIs learn Phalanx
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