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1950 – 1980

Foundational & Symbolic AI

"Intelligence is the formal manipulation of symbols via logical rules."

Chronology of Breakthroughs

1950: The Turing Test (Computing Machinery and Intelligence)

Alan Turing proposed a benchmark for machine intelligence based on the ability to exhibit behavior indistinguishable from a human.

1956: The Dartmouth Workshop

The birth of the term "Artificial Intelligence." John McCarthy, Marvin Minsky, and others set the goal of simulating every aspect of intelligence.

1958: The Perceptron Algorithm

Frank Rosenblatt creates the first supervised neural network model. It was the ancestor of modern Deep Learning, though limited to single layers.

1960s: LISP & Symbolic Programming

John McCarthy develops Lisp, the primary language for AI research for decades, focused on processing lists of symbols.

1970s: The Logic Theorist & GPS

Programs designed by Newell and Simon to mimic human problem-solving by searching through "state spaces" to find solutions to theorems.

Core Methodologies