Moravec’s paradox is the observation in artificial intelligence and robotics that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational resources. The principle was articulated by Hans Moravec, Rodney Brooks, Marvin Minsky and others in the 1980s. Moravec wrote in 1988: «it is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility».[1]
Similarly, Minsky emphasized that the most difficult human skills to reverse engineer are those that are below the level of conscious awareness. «In general, we’re least aware of what our minds do best», he wrote, and added: «we’re more aware of simple processes that don’t work well than of complex ones that work flawlessly».[2] Steven Pinker wrote in 1994 that «the main less
Moravec’s paradox – Wikipedia
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