Abstract
Connectionism coming of age: legacy and future challenges.
Highlights
ABOUT 50 YEARS AFTER THE INTRODUCTION OF THE PERCEPTRON AND SOME 25 YEARS AFTER THE INTRODUCTION OF PDP MODELS, WHERE ARE WE NOW? In 1986, Rumelhart and McClelland took the cognitive science community by storm with the Parallel Distributed Processing (PDP) framework
The PDP group argued that this could be achieved by turning to networks of artificial neurons, originally introduced by McCulloch and Pitts (1943) which the group showed were able to provide insights into a wide range of psychological domains, from categorization, to perception, to memory, to language
This work built on an earlier formulation by Rosenblatt (1958) who introduced a simple type of feed-forward neural network called the perceptron
Summary
ABOUT 50 YEARS AFTER THE INTRODUCTION OF THE PERCEPTRON AND SOME 25 YEARS AFTER THE INTRODUCTION OF PDP MODELS, WHERE ARE WE NOW? In 1986, Rumelhart and McClelland took the cognitive science community by storm with the Parallel Distributed Processing (PDP) framework. In 1986, Rumelhart, Hinton and Williams introduced the back-propagation algorithm, providing an effective way of training multi-layered neural networks, which could learn non linearly-separable functions.
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