The Early Years: Symbolic AI and the AI Winter

The initial decades focused on symbolic AI, where researchers developed rule-based systems and logical inference engines. These early efforts demonstrated the potential of computers to solve problems by following explicit instructions. However, progress was stymied by limited computational power and insufficient data:

• The optimistic surge in the field eventually gave way to periods of disillusionment, commonly known as the "AI winters," when funding and interest cooled due to unmet expectations.
• Despite these setbacks, the foundational ideas of symbolic reasoning laid the groundwork for later breakthroughs.
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