An Architecture for Intelligence?

Is there an underlying model for intelligence?    Is it a structurally simple enough one that we could readily convert into code, we could create something that thinks like the brain?    Still unknown.  Also looking for that secret part we still don't know.

Could this then lead use for AGI      Artificial General Intelligence, AKA "Strong AI"  or   "the intelligence of a machine that could successfully perform any intellectual task that a human being can"?  We don't know that either,  but we know the brain thinks, and its made of things we can dissect piece by piece  (Technical)

The Genius Neuroscientist who might hold the key to True AI.  By Shaun Raviv in Wired

See also:  Karl Friston   https://en.wikipedia.org/wiki/Karl_J._Friston

And further: https://en.wikipedia.org/wiki/Free_energy_principle

The free energy principle tries to explain how (biological) systems maintain their order (non-equilibrium steady-state) by restricting themselves to a limited number of states.[1] It says that biological systems minimise a free energy functional of their internal states, which entail beliefs about hidden states in their environment. The implicit minimisation of variational free energy is formally related to variational Bayesian methods and was originally introduced by Karl Friston as an explanation for embodied perception in neuroscience,[2] where it is also known as active inference.

Markov Blanket   https://en.wikipedia.org/wiki/Markov_blanket