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Conference Paper: A hybrid connectionist model of serial order behaviour
Title | A hybrid connectionist model of serial order behaviour |
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Authors | |
Issue Date | 2004 |
Publisher | Psychology Press. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207594.asp |
Citation | The XXVIII International Congress of Psychology, Beijing, China, 8-13 August, 2004. In International Journal of Psychology, 2004, v. 39 n. 5-6, p. abstract no. 2028.65, 137 How to Cite? |
Abstract | Structure-sensitive symbolic representations are traditionally favoured over connectionist models using distributed representations to explain systematicity in cognition. It has been argued that connectionist models can encode structural information, but their ability in the systematic and free transformation of component ideas in conscious mental processes is in question. A two-layer connectionist network employing a structured representation was constructed to investigate its capacity to locally transform a serial order. Simple weight exchange is sufficient for the transformation, which is difficult with a simple recurrent network employing distributed representations. This finding confirms the necessity of a structured representation in displaying systematicity. |
Description | Poster |
Persistent Identifier | http://hdl.handle.net/10722/213726 |
ISSN | 2023 Impact Factor: 3.3 2023 SCImago Journal Rankings: 1.066 |
DC Field | Value | Language |
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dc.contributor.author | Or, CCF | - |
dc.date.accessioned | 2015-08-13T08:23:45Z | - |
dc.date.available | 2015-08-13T08:23:45Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | The XXVIII International Congress of Psychology, Beijing, China, 8-13 August, 2004. In International Journal of Psychology, 2004, v. 39 n. 5-6, p. abstract no. 2028.65, 137 | - |
dc.identifier.issn | 0020-7594 | - |
dc.identifier.uri | http://hdl.handle.net/10722/213726 | - |
dc.description | Poster | - |
dc.description.abstract | Structure-sensitive symbolic representations are traditionally favoured over connectionist models using distributed representations to explain systematicity in cognition. It has been argued that connectionist models can encode structural information, but their ability in the systematic and free transformation of component ideas in conscious mental processes is in question. A two-layer connectionist network employing a structured representation was constructed to investigate its capacity to locally transform a serial order. Simple weight exchange is sufficient for the transformation, which is difficult with a simple recurrent network employing distributed representations. This finding confirms the necessity of a structured representation in displaying systematicity. | - |
dc.language | eng | - |
dc.publisher | Psychology Press. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207594.asp | - |
dc.relation.ispartof | International Journal of Psychology | - |
dc.rights | International Journal of Psychology. Copyright © Psychology Press. | - |
dc.rights | PREPRINT This is a preprint of an article whose final and definitive form has been published in the [JOURNAL TITLE] [year of publication] [copyright Taylor & Francis]; [JOURNAL TITLE] is available online at: http://www.informaworld.com/smpp/ with the open URL of your article POSTPRINT ‘This is an electronic version of an article published in [include the complete citation information for the final version of the article as published in the print edition of the journal]. [JOURNAL TITLE] is available online at: http://www.informaworld.com/smpp/ with the open URL of your article. | - |
dc.title | A hybrid connectionist model of serial order behaviour | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1080/00207594.2004.20040810 | - |
dc.identifier.volume | 39 | - |
dc.identifier.issue | 5-6 | - |
dc.identifier.spage | abstract no. 2028.65, 137 | - |
dc.identifier.epage | abstract no. 2028.65, 137 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0020-7594 | - |