Long before today’s neural networks and big data, early AI pioneers grappled with a fundamental challenge: making decisions with incomplete information and inherent uncertainty
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Long before the recent AI hype, pioneering research in games like poker, solitaire, and bridge quietly laid the groundwork for algorithms that grapple effectively with uncertainty and incomplete information
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