Gene Pool was developed from Darwin Pond, a genetic algorithmic simulation I recall from 1990-something.
Gene Pool is best appreciated as a virtual Darwinian aquarium in which you initiate a primordial soup, and then occasionally check up on what Virtual Mother Nature is up to - about every fifteen minutes (or every few days, if you are interested in long-term evolutionary experiments!).
There are some lessons from this simple simulation. Often the most agile and elegant swimmers go extinct fairly quickly! This is because they do not herd together so easily, and hence mate - if they stop long enough - with an inferior model. This then brings into sharp relief what precisely counts as superior and inferior.
The winners, in terms of lifespan, tend to be the herding bots - not too agile, not too big, not too fast and not too hungry. Survival of the mediocre. Perhaps, that is precisely what survival entails - a reversion to the mean, with flashes of useful divergence.
Some art...
Very beautiful
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it looks interesting the art you display is like the moon with a combination of carvings in the form of flowers in it maybe this is what I see in the picture
What if the "most agile and elegant swimmers" had the ability to feed on the slower herd creatures ?
I think the lefty coder that made Gene Pool forgot to put that in with a certain purpose .
It's all fun simulation , far far away from any reality . ;-)
here you can kill some rabbits: https://phet.colorado.edu/sims/html/natural-selection/latest/natural-selection_en.html
When I click the Gene Pool link, I see what looks like a pool of bacteria swimming around. Is that what is called a gene?
The bottom-right panel has many pages of explanation and links.
A gene is a unit of a chromosome that encodes proteins and hence functional features.
If you start the game randomly and let it evolve for maybe an hour, you may see one or more "species" start to dominate - reproduction is an exchange of genetic material that may, or may not, improve the species.
One philosophical issue that arises is that complexity does not need to come from complex rules but rather from simple rules and some basic feedback.
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