If we let some AI Agents in a simulation, how will they behave to organize and structure their world?

1. Some possibilities are they will structure and behave like humans because it has been trained with our data.
2. It might take some ideas from nature, eg. animals, insects, birds, etc
3. It might merge all known possibilities and simulate to find best
4. It will need more computation to find something interesting never done because it assesses each of those existing possibilities and try to fill those gaps.

My suggestion would be to give each of those Agents, different characteristics and experience so it can bring more possibilities based on what it has experienced which will change the outcome.

The only problem is that simulation agents shouldn't know anything about their pre-trained data so we can remove bias.

Some data can be shared based on learning of other Agents in that simulation. But we should strive such that these agents understand the truth by realising what's true.

With this maybe we can understand more about ourselves and how we have evolved and what's best as a human considering multiple possibilities.

We can definitely see some world war happening between these Agents and in the end understanding - it was all a simulation where each of those data points are getting stored in a large database for humans to use and find what's best for us.