Connecting Twenty-First Century Connectionism and Wittgenstein.
By pointing to deep philosophical confusions endemic to cognitive science, Wittgenstein might seem an enemy of computational approaches. We agree (with Mills 1993) that while Wittgenstein would reject the classicist's symbols and rules approach, his observations align well with connectionist or neur...
| Publicado en: | Philosophia Vol. 48; no. 2; pp. 643 - 672 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Apr2020
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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=143396077&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 143396077 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00483893 1VPF jtl: Philosophia issn: 00483893 maglogo: N pubinfo: dt: Apr2020 vid: 48 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 143396077 10.1007/s11406-019-00154-9 ppf: 643 ppct: 29 formats: fmt: – @attributes: type: T – @attributes: type: P size: 660KB tig: atl: Connecting Twenty-First Century Connectionism and Wittgenstein. aug: au: Lowney II, Charles W. Levy, Simon D. Meroney, William Gayler, Ross W. affil: Department of Philosophy, Hollins University, 7916 Williamson Road, 24020, Roanoke, VA, USA Department of Computer Science, Washington and Lee University, 204 W. Washington Street, 24450, Lexington, VA, USA 24120, Meadows of Dan, VA, USA Melbourne, Australia su: Cognitive science Connectionism Philosophy of mind Philosophy of language Computer simulation Reductionism Emergence (Philosophy) sug: subj: Cognitive science Connectionism Philosophy of mind Philosophy of language Computer simulation Reductionism Emergence (Philosophy) keyword: Computer modeling Emergentism Language games Linguistics Neural networks Philosophy of cognitive science Private language argument Semantics Smolensky Vector symbolic architectures Wittgenstein ab: By pointing to deep philosophical confusions endemic to cognitive science, Wittgenstein might seem an enemy of computational approaches. We agree (with Mills 1993) that while Wittgenstein would reject the classicist's symbols and rules approach, his observations align well with connectionist or neural network approaches. While many connectionisms that dominated the later twentieth century could fall prey to criticisms of biological, pedagogical, and linguistic implausibility, current connectionist approaches can resolve those problems in a Wittgenstein-friendly manner. We (a) present the basics of a Vector Symbolic Architecture formalism, inspired by Smolensky (1990), and indicate how high-dimensional vectors can operate in a context-sensitive and object-independent manner in biologically plausible time scales, reflecting Wittgenstein's notions of language-games and family resemblance; we (b) show how "soft" symbols for such a formalism can be formed with plausible learning cycles using Sparse Distributed Memory, resolving disputes surrounding Wittgenstein's private language argument; and (c) show how connectionist networks can extrapolate meaningful patterns to solve problems, providing "ways to go on" without explicit rules, which indicates linguistic plausibility. Connectionism thus provides a systematicity and productivity that is more than a mere implementation of a classical approach, and provides Wittgenstein-friendly and Wittgenstein-illuminating models of mind and language for cognitive science. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Philosophia is a copyright of Springer, 2020. All Rights Reserved. item: Philosophia holder: Springer Nature dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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