Perceptrons; an Introduction to Computational Geometry

While Rosenblatt’s Perceptron demonstrated the possibility of a neural network in accomplishing artificial intelligence tasks, the concept was limited by the computing power available in the 1960s. In this work, Minsky and Papert address the Perceptron and note some of the flaws in Rosenblatt’s design. One of the primary issues identified was the Perceptron’s limited ability to solve some Boolean logic problems, namely the XOR or “Exclusive or” function. Minsky and Papert’s critiques of the Perceptron had a huge impact on artificial intelligence research, temporarily making neural networks an unpopular field of study. Minsky was a professor at the Massachusetts Institute of Technology, where he helped found the institution’s AI laboratory, where he worked with Papert at the time this work was published.

Marvin Lee Minsky (1927- ) and Seymour Papert.
Perceptrons; an Introduction to Computational Geometry. Cambridge, Mass.: MIT Press [1969].

Lehigh University Catalog Record: https://asa.lib.lehigh.edu/asa/Record/64460