When it was first published in 1972, Hubert Dreyfus' manifesto on the inherent inability of disembodied machines to mimic higher mental functions caused a storm in the Artificial Intelligence community. While researchers were formulating ambitious plans for general problem solvers and automatic translation machines, Dreyfus predicted their failure because their understanding of mental function was simplistic. Since then, things have changed. Today it is clear that the "good old Artificial Intelligence," based on the idea of using symbolic representations to produce general intelligence, is in decline (despite the fact that many faithful still seek this gold-bearing vein) and the Artificial Intelligence community has turned its attention to more complex models of the mind. It has also become more common for Artificial Intelligence researchers to study philosophy. "What Computers Can't Do" has been attacked from many sides, but has been silently studied. Dreyfus' arguments continue to provoke and once again highlight what makes human beings unique. For this edition of the classic book you are holding, Dreyfus has added an extensive introduction in which he briefly presents these changes and evaluates the examples of connectionism and neural networks that have radically transformed the landscape in this field.