McCarthy's 1973 control-theory dismissal names no subfield, theorist, or publication — it groups 'control theory' generically with statistical decision theory
Read in full context — not as the isolated sentence the vault first recorded at claim-mccarthy-1973-control-theory-little-relevance-to-ai — John McCarthy's 1973 line sits inside a numbered list of AI's "deficiencies." The relevant item reads: "many plausible mathematical theories with good theorems such as control theory or statistical decision theory have turned out to have little relevance to AI." No author, textbook, equation, or technical concept is named — not Kalman, not Pontryagin, not Bellman, not "optimal control," not "LQG," and not the Kwakernaak–Sivan textbook the vault documents as the field's "leading international reference" (claim-kwakernaak-sivan-1972-linear-optimal-control-systems-leading-reference).
The absence is pointed rather than incidental. McCarthy immediately gets specific about the other discipline in the same clause: the "applicability of statistical decision theory to discriminating among classes of signals led to the mistaken identification of perception with discrimination." He could name a precise failure mode when he had one in mind — and did, for statistical decision theory. He did not do this for control theory; that clause stays generic. Whatever McCarthy meant by "control theory," the text supports reading it as a byword, not a citation of the optimal-control research program specifically.
This narrows what the vault's observation-kwakernaak-lqg-textbook-bridges-population-policy-and-mccarthy-1973-dismissal can claim: the connection between McCarthy's line and the LQG/optimal-control lineage is the vault's own synthesis, and the fuller primary read makes that burden heavier, not lighter. See also claim-1973-lighthill-symposium-names-no-optimal-control-lqg-lineage and moc-backpropagation-origins.
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“many plausible mathematical theories with good theorems such as control theory or statistical decision theory have turned out to have little relevance to AI”
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