The role of gender in the algorithm of generic selection seems under explored. The males in many species compete to match some criteria of quality observed by females of that species. In some it’s colors, in others voices, boldness, strength, demeanor toward the female, physical competition against other males, the nuance is very rich. But the ability and responsibility to choose the best candidate is core to the female biology. Even down to the egg - the most persistent sperm doesn’t win, but the one approved by the egg with multiple testing criteria at play. In species where the males have evolved to be substantially more physically dominant than the females, you still see defensive mechanisms in the female reproductive organs.
Why has biological gendering evolved to lead to this dynamic? Is it to enable one sex to vary wildly evolutionarily to respond to wildly changing conditions, while the other maintains the stability of the species? Is it because of what we’ve seen in human governments where division of power keeps one dominant bad leader from sinking the whole species? We saw GANs lead to tremendous boosts in creativity in machine learning algorithms. What if we apply these two-role algorithms (competing side and curating side) into machine learning and see where it takes us with agent systems for example? It’s already applied in business [Founders (competing), investors (curating)] and education [students and universities].
Why has biological gendering evolved to lead to this dynamic? Is it to enable one sex to vary wildly evolutionarily to respond to wildly changing conditions, while the other maintains the stability of the species? Is it because of what we’ve seen in human governments where division of power keeps one dominant bad leader from sinking the whole species? We saw GANs lead to tremendous boosts in creativity in machine learning algorithms. What if we apply these two-role algorithms (competing side and curating side) into machine learning and see where it takes us with agent systems for example? It’s already applied in business [Founders (competing), investors (curating)] and education [students and universities].