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Moravec's paradox - Wikipedia

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This is the current revision of this page, as edited by Evanbaldonado (talk | contribs) at 23:08, 2 June 2024 (Replace curly quotes with straight quotes (see MOS:CURLY).). The present address (URL) is a permanent link to this version. 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'

Moravec's paradox - Wikipedia Jump to content From Wikipedia, the free encyclopedia Observation that perception requires more computation than reasoning Moravec's paradox is the observation that, as Hans 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 ] This counterintuitive pattern may happen because skills that appear effortless to humans, such as recognizing faces or walking, require

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