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Are Feedforward and Recurrent Networks Systematic? Analysis and Implications for a Connectionist Cognitive Architecture

 

作者: Steven Phillips,  

 

期刊: Connection Science  (Taylor Available online 1998)
卷期: Volume 10, issue 2  

页码: 137-160

 

ISSN:0954-0091

 

年代: 1998

 

DOI:10.1080/095400998116549

 

出版商: Taylor & Francis Group

 

关键词: Systematicity;Architecture;Feedforward;Recurrent

 

数据来源: Taylor

 

摘要:

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 (non-local) component representations sufficient for systematicity.

 

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