But how do you describe the task and how does the AI learn about it?
Use something like Prolog to declare the environment and problem. If I knew how the AI would learn about it, I could build an AI already. And indeed, there are fields of machine learning for things such as Bayesian inference.
Describe the problem of learning how to become a computer scientist or quantum physicist, then let it solve that problem. Now it can learn to become a computer scientists or quantum physicist.
(That said, a better method would be to describe computer science and quantum physics and just let it solve those fields.)
Use something like Prolog to declare the environment and problem. If I knew how the AI would learn about it, I could build an AI already. And indeed, there are fields of machine learning for things such as Bayesian inference.
If you have to describe every potential probelm to the AI in Prolog, how will it learn to become a computer scientist or quantum physicist?
Describe the problem of learning how to become a computer scientist or quantum physicist, then let it solve that problem. Now it can learn to become a computer scientists or quantum physicist.
(That said, a better method would be to describe computer science and quantum physics and just let it solve those fields.)
Or a much better method: describe the problem of an AI that can learn natural language, the rest follows.
Except for all problems which are underspecified in natural language.
Which might be some pretty important ones.