Pride and Probability.
Bayesian agents, argues Belot, are orgulous: they believe in inductive success even when guaranteed to fail on a topologically typical collection of data streams. Here we shed light on how pervasive this phenomenon is. We identify several classes of inductive problems for which Bayesian convergence...
| Published in: | Philosophy of Science Vol. 91; no. 3; pp. 634 - 661 |
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| Format: | Article |
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Cambridge University Press
Jul2024
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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=179608563&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 179608563 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Jul2024 vid: 91 iid: 3 pid: 15979 pub: Cambridge University Press artinfo: ui: 179608563 10.1017/psa.2023.177 ppf: 634 ppct: 27 formats: fmt: – @attributes: type: T – @attributes: type: P size: 384KB tig: atl: Pride and Probability. aug: au: Zaffora Blando, Francesca affil: Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA, USA su: Acquisition of data Probability theory Success sug: subj: Acquisition of data Probability theory Success ab: Bayesian agents, argues Belot, are orgulous: they believe in inductive success even when guaranteed to fail on a topologically typical collection of data streams. Here we shed light on how pervasive this phenomenon is. We identify several classes of inductive problems for which Bayesian convergence to the truth is topologically typical. However, we also show that, for all sufficiently complex classes, there are inductive problems for which convergence is topologically atypical. Last, we identify specific topologically typical collections of data streams, observing which guarantees convergence to the truth across all problems from certain natural classes of effective inductive problems. 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: 2024 holdings: @attributes: islocal: N |
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