A great read by Hofstadter on Analogy as the Core of Cognition is here: http://prelectur.stanford.edu/lecturers/hofstadter/analogy.html http://prelectur.stanfor

A great read by Hofstadter on Analogy as the Core of Cognition is here: http://prelectur.stanford.edu/lecturers/hofstadter/analogy.html http://prelectur.stanford.edu/lecturers/hofstadter/analogy.h... I'm a big fan of Hofstadter and his emphasis on analogy. George Lakoff has and others from cognative semantics provide strongly supporting views from linguistics. And in Machine Learning, Deep Learning is now providing new support for these views on analogy. This isn't immediately obvious until realizing that analogy is not necessarily an active process more likely a passive result of how thoughts and memories are encoded and stored. I'm curious as to whether Hofstadter will address this in this book - I would imagine so as he was long ago excited by earlier similar ML approaches (Sparse Distributed Memory).