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Long before AI dazzled us with pattern recognition or deep learning miracles, it grappled with a fundamental challenge: making decisions amid uncertainty and incomplete information
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Long before today's AI hype cycles, seminal work in the mid-20th century quietly laid the groundwork for machines to grapple with uncertainty—an essential human predicament
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Long before the era of flashy neural networks and hype around “intelligent” machines, early AI research grappled with a deceptively difficult challenge: making decisions under uncertainty with incomplete information