Sorry about that. It was written on a cell phone and I m not native english speaker.
Nevertheless here goes the story ( http://www.andreykurenkov.com/... )
Marvin Minsky, founder of the MIT AI Lab, and Seymour Papert, director of the lab at the time, were some of the researchers who were skeptical of the hype and in 1969 published their skepticism in the form of rigorous analysis on of the limitations of Perceptrons in a seminal book aptly named Perceptrons. Interestingly, Minksy may have actually been the first researcher to implement a hardware neural net with 1951’s SNARC (Stochastic Neural Analog Reinforcement Calculator) , which preceded Rosenblatt’s work by many years. But the lack of any trace of his work on this system and the critical nature of the analysis in Perceptrons suggests that he concluded this approach to AI was a dead end. The most widely discussed element of this analysis is the elucidation of the limits of a Perceptron - they could not, for instance, learn the simple boolean function XOR because it is not linearly separable. Though the history here is vague, this publication is widely believed to have helped usher in the first of the AI Winters - a period following a massive wave of hype for AI characterized by disillusionment that causes a freeze to funding and publications.
The point here is that Minsky already knew that a multilayer Neural Network could solve XOR, but he nevertheless wrote a paper showing that a single perceptron could not solve XOR, in order to get funding away from perceptrons and towards his own line of investigation.
All that said, I highly recommend his "society of mind" book. The idea to have each single page to explain a simple concept in a complete manner was mind blowing to me at that time. I still havent come across another book written that way.