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Human Problem Solving

Simon and Newell's 1972 magnum opus on how bounded minds navigate problem spaces through heuristic search — the founding document of cognitive science and the framework through which AI-augmented problem-solving becomes legible.
Human Problem Solving, published in 1972 by Herbert Simon and Allen Newell, is the seven-hundred-page empirical masterwork that established cognitive science as a rigorous discipline. The book synthesizes two decades of research into a unified theory: human problem-solvers navigate formally structured problem spaces through heuristic search, using rules of thumb to direct their attention toward promising alternatives and away from unpromising ones. The theory is demonstrated through detailed protocol analyses of subjects solving problems in chess, cryptarithmetic, logic puzzles, and other structured domains — and through the computer programs that Simon and Newell built to replicate the patterns they observed. The book's enduring contribution is the framework through which problem-solving of every kind becomes analyzable: goal definition, problem representation, operator selection, heuristic search, threshold termination. The framework applies with uncomfortable precision to AI-augmented work, where the traditional search component has been radically accelerated while the goal-setting component — which requires integration, judgment, and domain wisdom — remains as bounded as it was
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