Part 4/15:
The inception of AI was marked by the 1956 Dartmouth Conference, where the term "Artificial Intelligence" was coined. Researchers explored symbolic logic, rules, and knowledge bases, attempting to encode human common sense into machines. Notable figures like Marvin Minsky and Claude Shannon contributed to foundational concepts like information theory and formal logic.
However, these approaches faced limitations, especially in capturing the nuanced, implicit knowledge humans possess—what we call common sense. To address this, projects like the Psych database tried to encode knowledge triplets and language understanding, but these efforts largely fell out of favor as symbolic AI struggled to scale.