Moravec’s Paradox
Moravec’s Paradox Moravec’s Paradox states that tasks which are easy for humans (like perception, movement, and sensory skills) are extremely difficult for computers and robots, while tasks that are hard for humans (like logical reasoning, complex calculations, or playing chess) are relatively easy for machines. 🔑 Key Points Proposed by: Hans Moravec, a robotics researcher, in the 1980s. Observation: Computers excel at abstract reasoning and symbolic logic. Robots struggle with sensorimotor skills that humans perform effortlessly. 🧠 Examples Easy for humans, hard for AI: recognizing faces, walking, grasping objects, understanding natural environments. Hard for humans, easy for AI: solving equations, playing strategy games, performing large-scale data analysis. 🌍 Evolutionary Explanation Humans have evolved millions of years of sensory and motor refinement for survival, making these abilities deeply ingrained and intuitive. Abstract reasoning, however, is a relatively recent evolutio...