Then you can have fun tweaking how desperate the wolves can be depending on lifespan and hunger and there desperation could affect which sheep they go for (young and less filling, midlife but faster or old and slow that could hang around a farmer with a gun).
There is no adaptation in this simulation. The change of the color you noticed is just a change I made during the simulation to make the entities more visible.
Hi Sergionewyork, Wolf = red, sheep = green and mountain = grey. You can run this simulation in the netBioDyn official site (type netBioDyn in google for example => first response). All the best.
Hi, I ran into your video by chance and have a question. The wolves become extinct after a few cycles, breaking with Lotka-Volterra predation models. Is this because the mountains diversify the environment and provide refuges for the sheep?
(continued from above) According to my understanding of predator-prey dynamics, prey refuges can drive predators extinct (and immigration from source populations was what allowed predators to re-emerge after a crash)...so this simulation breaks the assumption of L-V models in that the environment is not homogenous. Am I correct?
Hello, after your remark, I tried two situations: First with no mountain=>always extinction after fee cycles(with amplifications). Second with lot of mountains=>few extinctions even with many cycles (but cycles are not well visible because of diversity of "compartments"). I think one of the major difference with the classic L-V model is that my simulation works with integers (and is stochastic).
Looks like the sheep took over the universe at the end.
metabog 3 months ago
you need some way of maintaining dynamic equilibrium bro
scuzzulus 3 months ago
poor wolves, they always die =(
drEmue 3 months ago
So eventualy sheeps did find World peace, so we should too :)
Armuotas 3 months ago
Funny I named my fun script wolves and sheeps
openprocessing(DOT)org/visuals/?visualID=31020
WolfeSVK 3 months ago
A few survive in the mountains at 0:18
TimJSwan89 8 months ago
SHEEP and WOLVES >:/
funnyav 1 year ago 2
@funnyav Thank you! Corrected.
pballet 10 months ago
@pballet 'tis not!
Not even in the description!
=3
TAz69x 10 months ago
@TAz69x Yep, thanks! Made now.
pballet 10 months ago
that's one inbred sheep
cominup85 1 year ago
Looks like the sheep are indeed going to inherit the earth (:
roundhousesigh 1 year ago 10
were can i get this i speak only english respond
jnelen22 1 year ago
i know this from World of Wator
Maric18 1 year ago
Looks quite fun, could I see the source code?
AlexBraith 1 year ago
sheeps win?
zombierobopirate 1 year ago 3
@zombierobopirate
yes, they win, in this example. sometimes we observe the opposite (wolves win) and sometimes we observe cycles.
pballet 1 year ago
@zombierobopirate Yes, they do!
pballet 10 months ago
@zombierobopirate There are only three possible outcomes of a simulation like that:
sheeps win
everybody is dead
populations cycle.
The reason is that if the wolves kill all the sheep, they die from hunger.
Kram1032 4 months ago
This comment has received too many negative votes show
WTF IUS THIS SHIT
rochet75 1 year ago
This has been flagged as spam show
@rochet75 Re: WTF IUS THIS SHIT
nothing, just carry on with your life. Oh, look, there's Britney!
zedeveloper 1 year ago
This has been flagged as spam show
@rochet75 Re: WTF IUS THIS SHIT
Nothing, just carry on with your life. Oh, look, there's Britney!
zedeveloper 1 year ago
My routine theory to try.
Try these variables
Wolves [Hunger] [ReproductionRate] [Lifespan]
Sheep [ReproductionRate] [Lifespan] [Speed]
Then you can have fun tweaking how desperate the wolves can be depending on lifespan and hunger and there desperation could affect which sheep they go for (young and less filling, midlife but faster or old and slow that could hang around a farmer with a gun).
Man I love AI and Artif' Life.
MPireMallDOTnet 2 years ago
:D
I already did something like that... its on my channel
TheReasonWhyGuy 2 years ago
i notice the colors are changing as well as the populations exploding and waning. is this adaptation?
EricZombie 2 years ago
Hello Eric,
There is no adaptation in this simulation. The change of the color you noticed is just a change I made during the simulation to make the entities more visible.
Regards.
pballet 2 years ago
There's a program I found, it's just a little flash game, but it has all the variables to create a balanced "ecosystem".
Is the program called MiniBioDyn? I'd like to try it out.
EricZombie 2 years ago
miniBioDyn is the old version of netBioDyn. netBioDyn can do much more simulations. To use it, go to netbiodyn "dot" tuxfamily "dot" org
pballet 2 years ago
???
kokosnoot15 3 years ago
what about vorrea!
Sergionewyork 3 years ago
Wolfs= color? Sheep = color? montains= color..... sorry I am taking this class for the first time and I am new in this kind of simulation... thanks!
Sergionewyork 3 years ago
Hi Sergionewyork, Wolf = red, sheep = green and mountain = grey. You can run this simulation in the netBioDyn official site (type netBioDyn in google for example => first response). All the best.
pballet 3 years ago
so it looks like a couple sheep found a good hiding spot away from the wolves, then the wolves starved to death
crazy
HoweGavin 3 years ago
Hi, I ran into your video by chance and have a question. The wolves become extinct after a few cycles, breaking with Lotka-Volterra predation models. Is this because the mountains diversify the environment and provide refuges for the sheep?
inia747 4 years ago
(continued from above) According to my understanding of predator-prey dynamics, prey refuges can drive predators extinct (and immigration from source populations was what allowed predators to re-emerge after a crash)...so this simulation breaks the assumption of L-V models in that the environment is not homogenous. Am I correct?
inia747 4 years ago
Hello, after your remark, I tried two situations: First with no mountain=>always extinction after fee cycles(with amplifications). Second with lot of mountains=>few extinctions even with many cycles (but cycles are not well visible because of diversity of "compartments"). I think one of the major difference with the classic L-V model is that my simulation works with integers (and is stochastic).
pballet 4 years ago