Fodor and Pylyshyn argued that connectionist models could not be used to exhibit and
explain a phenomenon that they termed systematicity, and which they explained by …

It is time to locate connectionist representation theory in the new wave of robotics research.
The utility of representations developed in artificial neural networks (ANNs) during learning …

Featuring an international team of authors, Neural Network Perspectives on Cognition and
Adaptive Robotics presents several approaches to the modeling of human cognition and …

A novel method of analysing the systematic structure formed inside a feedforward neural
network is developed. This method is applied to the task of understanding how a network is …

Measuring distribution in distributed representations Page 1 Neural Processing Letters 3: 13-79,
1996. @ 1996 Kluwer Academic Publishers. Printed in the Netherlands. 73 Measuring …

Central to both the symbolist and connectionist approaches to modelling cognition, is the
focus of attention on (at least) two important issues; mental representations and mental …

This paper shows how the choice of representation substantially affects the generalization
performance of connectionistnetworks. The starting point is Chalmers' simulations involving …