%A S. Phillips
%J Connection Science
%T Are feedforward and recurrent networks systematic? Analysis and implications for a connectionist cognitive architecture
%X Human cognition is said to be systematic: cognitive ability generalizes to structurally related behaviours. The connectionist approach to cognitive theorizing has been strongly criticized for its failure to explain systematicity. Demonstrations of generalization notwithstanding, I show that two widely used networks (feedforward and recurrent) do not support systematicity under the condition of local input/output representations. For a connectionist explanation of systematicity, these results leave two choices, either: (1) develop models capable of systematicity under local input/output representations; or (2) justify the choice of similarity-based (nonlocal) component representations sufficient for systematicity.
%N 2
%K strong systematicity, connectionism, classicism, feedforward network, recurrent network, tensor network, weight sharing, local representation, compositionality, association, relation
%P 137-160
%V 10
%D 1998
%L cogprints520

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