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A Defence Of Connectionism Against The "Syntactic'' Argument

dc.contributor.authorGuarini, Marcelloen_US
dc.date.accessioned2006-09-11T13:53:01Z
dc.date.available2006-09-11T13:53:01Z
dc.date.issued2001-09en_US
dc.identifier.citationGuarini, Marcello; (2001). "A Defence Of Connectionism Against The "Syntactic'' Argument." Synthese 128(3): 287-317. <http://hdl.handle.net/2027.42/43818>en_US
dc.identifier.issn1573-0964en_US
dc.identifier.issn0039-7857en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/43818
dc.description.abstractIn "Representations without Rules, Connectionism and the Syntactic Argument'', Kenneth Aizawa argues against the view that connectionist nets can be understood as processing representations without the use of representation-level rules, and he provides a positive characterization of how to interpret connectionist nets as following representation-level rules. He takes Terry Horgan and John Tienson to be the targets of his critique. The present paper marshals functional and methodological considerations, gleaned from the practice of cognitive modelling, to argue against Aizawa's characterization of how connectionist nets may be understood as making use of representation-level rules.en_US
dc.format.extent157895 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherPhilosophyen_US
dc.subject.otherPhilosophyen_US
dc.subject.otherLogicen_US
dc.subject.otherMetaphysicsen_US
dc.subject.otherPhilosophy of Languageen_US
dc.subject.otherEpistemologyen_US
dc.titleA Defence Of Connectionism Against The "Syntactic'' Argumenten_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbsecondlevelScience (General)en_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumHumanities Department, Philosophy, The University of Michigan in Dearborn, 4901 Evergreen, Dearborn, MI, 48128, USAen_US
dc.contributor.affiliationumcampusDearbornen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/43818/1/11229_2004_Article_320358.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1011905917986en_US
dc.identifier.sourceSyntheseen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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