The way in which the brain solves classification tasks - a reactionary process that doesn't draw on deliberate reasoning ability - seems similar to how we recreate such abilities in ANN's. So in that sense it seems our AI systems are following the path laid out for us by our own brains.<p>However it seems to me (and I may be wrong) that the DNC tries to implement procedural, deliberate thinking in a way divergent from the method implemented by the human brain.<p>The brain is clearly capable of providing us with the ability to navigate through complex procedure (like interpreting subway maps), something beyond the abilities of modern AI which mainly excels at more reactionary classification. So the question becomes, why is Deep Mind diverging from the way the brain works in the case of the DNC?<p>Is it because we don't actually understand how the brain implements reasoning, or is it because in order to do so in the brain's own way it would exceed our technical capabilities? Or both?