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abstract: '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.'
altloc:
- http://cogju.etl.go.jp/stevep/www/papers/systemffn-rn.ps
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creators_name:
- family: Phillips
given: S.
honourific: ''
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date: 1998
date_type: published
datestamp: 1998-12-10
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dir: disk0/00/00/05/20
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keywords: 'strong systematicity, connectionism, classicism, feedforward network, recurrent network, tensor network, weight sharing, local representation, compositionality, association, relation'
lastmod: 2011-03-11 08:54:01
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metadata_visibility: show
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number: 2
pagerange: 137-160
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publication: Connection Science
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refereed: TRUE
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reportno: ~
rev_number: 10
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status_changed: 2007-09-12 16:29:53
subjects:
- cog-psy
- comp-sci-neural-nets
- phil-mind
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title: 'Are feedforward and recurrent networks systematic? Analysis and implications for a connectionist cognitive architecture'
type: journalp
userid: 470
volume: 10