I think you're underestimating Tom Mitchell. They're also using similar techniques to decode neuroimaging signals of semantics. http://videolectures.net/youtub

I think you're underestimating Tom Mitchell. They're also using similar techniques to decode neuroimaging signals of semantics. http://videolectures.net/youtube_tom_mitchell_bmcs/ http://videolectures.net/youtube_tom_mitchell_bmcs/ The brain has wants and needs built into the associations. Words for foods automatically invoke their taste in brain activity. And while negation is problematic, we believe in all sorts of stuff that can't be negated through logic or experience. Humans have to accept they're wrong in the same ways computers do, as another fact. Putting together an average cortical activation network and weighting that network by web-derived facts is non-trivial. But to do so would enable a more flawed, and so accurate, estimate of human intelligence. Semantics feels like the 21st century problem. But I'm biased. Push me today and I'll agree. Embodiment is a powerful learning tool. Whether we can ever replicate the sum total of those felt experiences, perhaps through robotics, may just be the question in search of an answer. I'm just not sure we'll recognize when it's here. Google fits the definition of magic and now it's downright ordinary.