>There's nothing inherent in evolution that guarantees that it will find all, or even "the best" solutions that can exist in that landscape. Yes this is true.

>There's nothing inherent in evolution that guarantees that it will find all, or even "the best" solutions that can exist in that landscape. Yes this is true. But if life persists it demonstrates that a solution that works has been found. Because of time, energy constraints the best solution to an abstract objective function may not not be the optimal real world result. Over successive generations, however evolution will tend toward a better solution to for the problems that life faces. If AI researchers do not simulate the evolutionary process of life then they need to come up with a better heuristic for finding solutions than evolution. So far general intelligence, in humans and animals has only been demonstrated as a result of the evolutionary process and learning using evolved brain structures during life. As far as I know we have found some good approaches for pattern matching and even problems solving in constrained domains like GO but nobody has yet simulated a general intelligence with a computer model. I argue that is because nobody has modelled a living biological agent yet to a sufficient degree of fidelity. PS. Jet aircraft are very inefficient from an evolutionary perspective.