When a search space has irreducible complexity, ensemble search methods can improve performance. It's possible culture, emotions, religion, etc are part of an ensemble.

Simulating the "human search method" in silico doesn't need to include specific personalities, but they do provide a bootstrap, just as we've bootstrapped current AI with human language.

For symbiosis, there may be an advantage to the physical adaptability of biology.

In general, it's currently unclear if biology is emulating what we're creating in computers, if computers are emulating what we achieve biologically, or if both approaches are imperfect emulations of a different ideal search method.