Hello everyone, There is a lot of debate on various issues I'd like to contribute a few points that might reduce misconception, verbosity and argument. Bayesian reasoning is represented by formulae that could be represented by other mechanisms. Probably the cleverest thing about humans is their ability to continuously learn. Couple this with enormous, self directed experiences and you get a system that will eventually always get it right, it doesn't really matter what the underlying paradigm is, just that there is enough flexibility and a evaluation function that includes the ability to accurately generalise to new situations.
Bayesian systems run on binary computers.
Nerve cells, at any time are firing or not firing. It is important to realise that incredibly complex phenomena emerge from very simple functions. The brain is binary but this is not understanding or reduction. Most likely, one day, super powered parallel computers will out-perform human reasoning.