I think the best definition of intelligence is something like: "the ability of an agent to maximize its rewards by taking actions in some environment." In this sense, you could quantify intelligence by the agent's total…
Sounds like what you're talking about is decision theory. Or, when mixed with learning: reinforcement learning. The monte carlo AIXI approximation would be an example. But, it really only works well on small toy…
I don't know much about literature, but I know philosophy is very important to the sciences. Especially the philosophy of science. Philosophy also deals with important things like logic, inference, etc. I took a couple…
All (good) statisticians validate their models. Nothing new there. The main difference between these newer networks (besides much improved performance) is that the algorithms can handle "deeper" networks better (more…
I think the best definition of intelligence is something like: "the ability of an agent to maximize its rewards by taking actions in some environment." In this sense, you could quantify intelligence by the agent's total…
Sounds like what you're talking about is decision theory. Or, when mixed with learning: reinforcement learning. The monte carlo AIXI approximation would be an example. But, it really only works well on small toy…
I don't know much about literature, but I know philosophy is very important to the sciences. Especially the philosophy of science. Philosophy also deals with important things like logic, inference, etc. I took a couple…
All (good) statisticians validate their models. Nothing new there. The main difference between these newer networks (besides much improved performance) is that the algorithms can handle "deeper" networks better (more…