What Can Artificial Intelligence Learn from Wittgenstein’s On Certainty?
Meta-philosophically speaking, the philosophy of artificial intelligence (AI) is intended not only to explore the theoretical possibility of building “thinking machines,” but also to reveal philosophical implications of specific AI approaches. Wittgenstein’s comments on the analytic/empirical dichot...
| Publicado en: | Frontiers of Philosophy in China Vol. 9; no. 3; pp. 441 - 463 |
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| Formato: | Artículo |
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Higher Education Press Limited Company
Sep2014
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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=101025863&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 101025863 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 16733436 3CPI jtl: Frontiers of Philosophy in China issn: 16733436 maglogo: N pubinfo: dt: Sep2014 vid: 9 iid: 3 pid: 68417 pub: Higher Education Press Limited Company artinfo: ui: 101025863 10.3868/s030-003-014-0037-9 ppf: 441 ppct: 22 formats: fmt: @attributes: type: P size: 442KB tig: atl: What Can Artificial Intelligence Learn from Wittgenstein’s On Certainty? aug: au: XU Yingjin affil: School of Philosophy, Fudan University, Shanghai 200433, China su: Artificial intelligence Bayesian analysis Connectionism Philosophy of mind Wittgenstein, Ludwig, 1889-1951 sug: subj: Artificial intelligence Bayesian analysis Connectionism Philosophy of mind Wittgenstein, Ludwig, 1889-1951 keyword: analytic/empirical dichotomy artificial intelligence axiomatic system Bayesian network connectionism context ab: Meta-philosophically speaking, the philosophy of artificial intelligence (AI) is intended not only to explore the theoretical possibility of building “thinking machines,” but also to reveal philosophical implications of specific AI approaches. Wittgenstein’s comments on the analytic/empirical dichotomy may offer inspirations for AI in the second sense. According to his “river metaphor” in On Certainty, the analytic/empirical boundary should be delimited in a way sensitive to specific contexts of practical reasoning. His proposal seems to suggest that any cognitive modeling project needs to render the system context-sensitive by avoiding representing large amounts of truisms in its cognitive processes, otherwise neither representational compactness nor computational efficiency can be achieved. In this article, different AI approaches (like the Common Sense Law of Inertia approach, the Bayesian approach and the connectionist approach) will be critically evaluated under the afore-mentioned Wittgensteinian criteria, followed by the author’s own constructive suggestion on what AI needs to try to do in the near future. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Frontiers of Philosophy in China is the property of Higher Education Press Limited Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Frontiers of Philosophy in China holder: Higher Education Press Limited Company dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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