From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence.
There is a vast literature within philosophy of mind that focuses on artificial intelligence but hardly mentions methodological questions. There is also a growing body of work in philosophy of science about modeling methodology that hardly mentions examples from cognitive science. Here these discuss...
| Published in: | Philosophy of Science Vol. 87; no. 4; pp. 590 - 612 |
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| Format: | Article |
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Cambridge University Press
Oct2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=145957765&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 145957765 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Oct2020 vid: 87 iid: 4 pid: 15979 pub: Cambridge University Press artinfo: ui: 145957765 10.1086/709730 ppf: 590 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P size: 645KB tig: atl: From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence. aug: au: Stinson, Catherine su: Artificial intelligence Philosophical literature Philosophy of science Philosophy of mind Scientific literature sug: subj: Artificial intelligence Philosophical literature Philosophy of science Philosophy of mind Scientific literature ab: There is a vast literature within philosophy of mind that focuses on artificial intelligence but hardly mentions methodological questions. There is also a growing body of work in philosophy of science about modeling methodology that hardly mentions examples from cognitive science. Here these discussions are connected. Insights developed in the philosophy of science literature about the importance of idealization provide a way of understanding the neural implausibility of connectionist networks. Insights from neurocognitive science illuminate how relevant similarities between models and targets are picked out, how modeling inferences are justified, and the metaphysical status of models. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press 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: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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