Can massive modularity explain human intelligence? Information control problem and implications for cognitive architecture.
A fundamental task for any prospective cognitive architecture is information control: routing information to the relevant mechanisms to support a variety of tasks. Jerry Fodor has argued that the Massive Modularity Hypothesis cannot account for flexible information control due to its architectural c...
| Publicado en: | Synthese Vol. 198; no. 9; pp. 8043 - 8073 |
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| Formato: | Artículo |
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Springer Nature
Sep2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=153077670&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153077670 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Sep2021 vid: 198 iid: 9 pid: 237 pub: Springer Nature artinfo: ui: 153077670 10.1007/s11229-019-02215-8 ppf: 8043 ppct: 30 formats: fmt: @attributes: type: P size: 1MB tig: atl: Can massive modularity explain human intelligence? Information control problem and implications for cognitive architecture. aug: au: Huang, Linus Ta-Lun affil: Department of Philosophy, University of California, San Diego, 92093, La Jolla, CA, USA Philosophy Program, Institute of European and American Studies, Academia Sinica, 11529, Taipei, Taiwan su: Information resources management Cognitive ability Information processing Information architecture sug: subj: Information resources management Cognitive ability Information processing Information architecture keyword: Cognitive architecture Control problem Evolutionary psychology Human intelligence Input problem Massive modularity Nativism ab: A fundamental task for any prospective cognitive architecture is information control: routing information to the relevant mechanisms to support a variety of tasks. Jerry Fodor has argued that the Massive Modularity Hypothesis cannot account for flexible information control due to its architectural commitments and its reliance on heuristic information processing. I argue instead that the real trouble lies in its commitment to nativism—recent massive modularity models, despite incorporating mechanisms for learning and self-organization, still cannot learn to control information flexibly enough. After defending this position, I close the paper by discussing wider implications for control and cognitive architecture. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2021. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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