Research · 1969
Marvin Minsky and Seymour Papert published a mathematical analysis of what a perceptron can and cannot do.
The book established concrete limits of single-layer models. It is often linked to the decline of neural-network research, although it does not claim multilayer learning is impossible.
How far the book affected research funding remains a matter of historical debate.
MIT Press · Published 1969
The book formally analyses which problems a single-layer perceptron cannot solve.
Perceptrons: An Introduction to Computational GeometryBoth texts assess the expectations of the time critically, each in its own area.
Minsky and Papert in 1969 were answering the programme set out in this book.
A network with feedback connections sidesteps the limit proved for the single-layer scheme.
It refutes the broad reading of the perceptron critique: with a hidden layer the limitation disappears.
Aleksander wrote in 1983 that neural modelling in image recognition suffered a quasi-death in 1969 with Minsky and Papert's condemnation; he presents WISARD as a practical answer.