Wouldn't there be some problems with that if the bots use these values for conspec recognition? For example, bots that change their values to much won't have a chance because their own kind will eat them. You could also end up with copy cat bots. A single mutation in the part of that bot that tells it when to store those values, and it automatically changes every time it sees another bot. There could be other problems to. I think it would be best if you used racial memory and kept them secret.
I was more thinking of it as eco sim, so i'm less woried of conspec recognition.
Future siblings can change small amounts of the valeus, so in the end you endup with a sim of competing values, and find for those bots ideal values.
A kind of evolution of tuning, like how birds change wing sizes.
The reason a bit is that DarwinBots is a good enviroment for testing environmental cases
But since the language is quite advanced, some people say its too good for evolutionary processes since there is no outside pressure (rewarding) ==> see the wikipedia review.
I was wondering if it was possible using the language to write something that could do it in a limited way.
Thats also why i would like the plants not to grow to big, and why they having a seeding mechanism.
Hmm racial memory is also an option for this, might be better.
But still i'm wondering whats wrong with the aiming i use in these bots, there must be better aiming math, then what i'm using here, but it has been a while for me that i coded bots.
I will also check LionFish thanks Moonfisher