Cognitive Science 38 (6):1024-1077 (2014)

Abstract
This paper introduces a special issue of Cognitive Science initiated on the 25th anniversary of the publication of Parallel Distributed Processing (PDP), a two-volume work that introduced the use of neural network models as vehicles for understanding cognition. The collection surveys the core commitments of the PDP framework, the key issues the framework has addressed, and the debates the framework has spawned, and presents viewpoints on the current status of these issues. The articles focus on both historical roots and contemporary developments in learning, optimality theory, perception, memory, language, conceptual knowledge, cognitive control, and consciousness. Here we consider the approach more generally, reviewing the original motivations, the resulting framework, and the central tenets of the underlying theory. We then evaluate the impact of PDP both on the field at large and within specific subdomains of cognitive science and consider the current role of PDP models within the broader landscape of contemporary theoretical frameworks in cognitive science. Looking to the future, we consider the implications for cognitive science of the recent success of machine learning systems called “deep networks”—systems that build on key ideas presented in the PDP volumes
Keywords Connectionist models  Perception  Language  Cognitive control  Neural networks  Learning  Memory  Cognition
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DOI 10.1111/cogs.12148
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References found in this work BETA

Vison.David Marr - 1982 - W. H. Freeman.
The Origin of Concepts.Susan Carey - 2009 - Oxford University Press.
Unified Theories of Cognition.Allen Newell - 1990 - Harvard University Press.

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Interactionism for the discerning mind?Derek Shiller - 2020 - Philosophical Studies 177 (4):931-946.
The Computational Theory of Mind.Steven Horst - 2005 - Stanford Encyclopedia of Philosophy.

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