Added: 4 years ago
From: pballet
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  • Looks like the sheep took over the universe at the end.

  • you need some way of maintaining dynamic equilibrium bro

  • poor wolves, they always die =(

  • So eventualy sheeps did find World peace, so we should too :)

  • Funny I named my fun script wolves and sheeps

    openprocessing(DOT)org/visuals­/?visualID=31020

  • A few survive in the mountains at 0:18

  • SHEEP and WOLVES >:/

  • @funnyav Thank you! Corrected.

  • @pballet 'tis not!

    Not even in the description!

    =3

  • @TAz69x Yep, thanks! Made now.

  • that's one inbred sheep

  • Looks like the sheep are indeed going to inherit the earth (:

  • were can i get this i speak only english respond

  • i know this from World of Wator

  • Looks quite fun, could I see the source code?

  • sheeps win?

  • @zombierobopirate

    yes, they win, in this example. sometimes we observe the opposite (wolves win) and sometimes we observe cycles.

  • @zombierobopirate Yes, they do!

  • @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.

  • 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.

  • :D

    I already did something like that... its on my channel

  • i notice the colors are changing as well as the populations exploding and waning. is this adaptation?

  • 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.

  • 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.

  • miniBioDyn is the old version of netBioDyn. netBioDyn can do much more simulations. To use it, go to netbiodyn "dot" tuxfamily "dot" org

  • ???

  • what about vorrea!

  • 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!

  • 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.

  • so it looks like a couple sheep found a good hiding spot away from the wolves, then the wolves starved to death

    crazy

  • 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).

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