Verified80% confidenceFactExact time
In 1969, Marvin Minsky and Seymour Papert proved in their book Perceptrons that single-layer perceptrons cannot solve linearly inseparable problems such as XOR, leading to the first AI winter in neural network research.
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8/10/2026
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Related Claims
UnverifiedIn 1969, Minsky and Papert proved that a single-layer perceptron cannot solve the XOR problem.78% similarUnverifiedIn 1969, Minsky and Papert demonstrated the limitations of single-layer perceptrons in their book "Perceptrons," causing neural network research to enter a period of decline.75% similarUnverifiedThe XOR function is completely non-linearly separable for a single-layer linear model; this is the central counterexample put forward by Minsky and Papert in "Perceptrons" in 1969.75% similarUnverifiedThe theoretical foundation of finite state machines (FSMs) was laid by mathematicians Warren McCulloch and Walter Pitts in their 1943 research on neural networks.58% similarUnverified有限状态机的理论基础由沃伦·麦卡洛克和沃尔特·皮茨在1943年的神经网络研究中奠定，后经摩尔和米利在20世纪50年代形式化为完整的自动机理论58% similar
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