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Précis of Semantic Cognition: A Parallel Distributed Processing Approach

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Author(s)
Timothy T. Rogers
James L. Mcclelland
Contributor(s)
The Pennsylvania State University CiteSeerX Archives
Keywords
categorization
causal knowledge
concepts
connectionism
development
innateness
learning
semantics
memory

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URI
http://hdl.handle.net/20.500.12424/2539592
Online Access
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.8959
http://psychology.stanford.edu/~jlm/papers/RogersMcC08BBSFinalProof.pdf
Abstract
Abstract: In this précis of our recent book, Semantic Cognition: A Parallel Distributed Processing Approach (Rogers & McClelland 2004), we present a parallel distributed processing theory of the acquisition, representation, and use of human semantic knowledge. The theory proposes that semantic abilities arise from the flow of activation among simple, neuron-like processing units, as governed by the strengths of interconnecting weights; and that acquisition of new semantic information involves the gradual adjustment of weights in the system in response to experience. These simple ideas explain a wide range of empirical phenomena from studies of categorization, lexical acquisition, and disordered semantic cognition. In this précis we focus on phenomena central to the reaction against similarity-based theories that arose in the 1980s and that subsequently motivated the “theory-theory” approach to semantic knowledge. Specifically, we consider (1) how concepts differentiate in early development, (2) why some groupings of items seem to form “good ” or coherent categories while others do not, (3) why different properties seem central or important to different concepts, (4) why children and adults sometimes attest to beliefs that seem to contradict their direct experience, (5) how concepts reorganize between the ages of 4 and 10, and (6) the relationship between causal knowledge and semantic knowledge. The explanations our theory offers for these phenomena are illustrated with reference to a simple feedforward connectionist model. The relationships between this simple model, the broader theory, and more general issues in cognitive science are discussed.
Date
2009-09-16
Type
text
Identifier
oai:CiteSeerX.psu:10.1.1.144.8959
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.8959
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Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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