Humean learning (how to learn).
David Hume's skeptical solution to the problem of induction was grounded in his belief that we learn by means of custom. We consider here how a form of reinforcement learning like custom may allow an agent to learn how to learn in other ways as well. Specifically, an agent may learn by simple reinfo...
| Publicado en: | Philosophical Studies Vol. 181; no. 1; pp. 281 - 298 |
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| Formato: | Artículo |
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Springer Nature
Jan2024
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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=174953021&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 174953021 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318116 4L8 jtl: Philosophical Studies issn: 00318116 maglogo: N pubinfo: dt: Jan2024 vid: 181 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 174953021 10.1007/s11098-023-02086-3 ppf: 281 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P size: 571KB tig: atl: Humean learning (how to learn). aug: au: Barrett, Jeffrey A. affil: https://ror.org/04gyf1771 University of California Irvine, Irvine, USA su: Hume, David, 1711-1776 Learning Induction (Logic) Pragmatism Reinforcement learning sug: subj: Hume, David, 1711-1776 Learning Induction (Logic) Pragmatism Reinforcement learning keyword: Hume's skeptical solution Humean learning Learning how to learn The problem of induction ab: David Hume's skeptical solution to the problem of induction was grounded in his belief that we learn by means of custom. We consider here how a form of reinforcement learning like custom may allow an agent to learn how to learn in other ways as well. Specifically, an agent may learn by simple reinforcement to adopt new forms of learning that work better than simple reinforcement in the context of specific tasks. We will consider how such a bootstrapping process may lead to a system that includes trial-and-error forms of learning like win-stay/lose-shift, probe and adjust, and simple reinforcement itself together with higher-rationality inferential tools. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Philosophical Studies is a copyright of Springer, 2024. All Rights Reserved. item: Philosophical Studies holder: Springer Nature dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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