Thoughts on evolution-based simulations?
I’d be interested in hearing about anyone who has looked into or considered the use of simulating environments for AI agents to evolve in a “survival of the fittest” type structure where each are tagged with an identifier, presented with edge cases based on your configurations, and each use different thought processes to see which ones naturally fizzle out vs ones that come out on top. I think it’s an interesting idea that can help people training their own agents in a more intuitive way. Would like to hear your thoughts