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Are feedforward and recurrent networks systematic? Analysis and implications for a connectionist cognitive architecture

S. Phillips

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Connectionist inference models.Ron Sun - manuscriptdetails The performance of symbolic inference tasks has long been a challenge to connectionists. In this paper, we present an extended survey of this area. Existing connectionist inference systems are reviewed, with particular reference to how they perform variable binding and rule- based reasoning and whether they involve distributed or localist representations. The bene®ts and disadvantages of different representations and systems are outlined, and conclusions drawn regarding the capabilities of connectionist inference systems when compared with symbolic inference systems or when used (...) Download Export citation Bookmark 4 citations
Does classicism explain universality?Stephen H. Phillips - 2002 - Minds and Machines 12 (3):423-434.details One of the hallmarks of human cognition is the capacity to generalize over arbitrary constituents. Recently, Marcus (1998, 1998a, b; Cognition 66, p. 153; Cognitive Psychology 37, p. 243) argued that this capacity, called universal generalization (universality), is not supported by Connectionist models. Instead, universality is best explained by Classical symbol systems, with Connectionism as its implementation. Here it is argued that universality is also a problem for Classicism in that the syntax-sensitive rules that are supposed to provide causal explanations (...) Download Export citation Bookmark 2 citations
Why Are There Failures of Systematicity? The Empirical Costs and Benefits of Inducing Universal Constructions.Steven Phillips, Yuji Takeda & Fumie Sugimoto - 2016 - Frontiers in Psychology 7.details Download Export citation Bookmark 2 citations
Context-sensitive inference, modularity, and the assumption of formal processing.Mitch Parsell - 2005 - Philosophical Psychology 18 (1):45-58.details Performance on the Wason selection task varies with content. This has been taken to demonstrate that there are different cognitive modules for dealing with different conceptual domains. This implication is only legitimate if our underlying cognitive architecture is formal. A non-formal system can explain content-sensitive inference without appeal to independent inferential modules. Download Export citation Bookmark 3 citations
Systematic minds, unsystematic models: Learning transfer in humans and networks. [REVIEW]Steven Phillips - 1999 - Minds and Machines 9 (3):383-398.details Minds are said to be systematic: the capacity to entertain certain thoughts confers to other related thoughts. Although an important property of human cognition, its implication for cognitive architecture has been less than clear. In part, the uncertainty is due to lack of precise accounts on the degree to which cognition is systematic. However, a recent study on learning transfer provides one clear example. This study is used here to compare transfer in humans and feedforward networks. Simulations and analysis show, (...) Download Export citation Bookmark 4 citations
Connectionist semantic systematicity.Stefan L. Frank, Willem F. G. Haselager & Iris van Rooij - 2009 - Cognition 110 (3):358-379.details Download Export citation Bookmark 7 citations

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