The history of AI consists of a repeated cycle where researchers propose a new paradigm, declare it the solution to artificial intelligence, invest heavily, then abandon it when it fails to deliver; this pattern includes the General Problem Solver of the 1950s, perceptrons, expert systems, and early neural networks.