Uncertainty, Learning, and the 'Problem' of Dilation.
Imprecise probabilism-which holds that rational belief/credence is permissibly represented by a set of probability functions-apparently suffers from a problem known as dilation. We explore whether this problem can be avoided or mitigated by one of the following strategies: (a) modifying the rule by...
| Published in: | Erkenntnis Vol. 79; no. 6; pp. 1287 - 1304 |
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| Main Authors: | , |
| Format: | Article |
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Springer Nature
Dec2014
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=99217421&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 99217421 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01650106 5KZ jtl: Erkenntnis issn: 01650106 maglogo: N pubinfo: dt: Dec2014 vid: 79 iid: 6 pid: 237 pub: Springer Nature artinfo: ui: 99217421 10.1007/s10670-013-9529-1 ppf: 1287 ppct: 17 formats: fmt: @attributes: type: P size: 294KB tig: atl: Uncertainty, Learning, and the 'Problem' of Dilation. aug: au: Bradley, Seamus Steele, Katie affil: Ludwig-Maximilians-Universität, Munich Germany Department of Philosophy, Logic and Scientific Method, London School of Economics and Political Science (LSE), Houghton St London WC2A 2AE UK su: Uncertainty Learning Dilation theory (Operator theory) Belief & doubt Probabilism Probability theory sug: subj: Uncertainty Learning Dilation theory (Operator theory) Belief & doubt Probabilism Probability theory ab: Imprecise probabilism-which holds that rational belief/credence is permissibly represented by a set of probability functions-apparently suffers from a problem known as dilation. We explore whether this problem can be avoided or mitigated by one of the following strategies: (a) modifying the rule by which the credal state is updated, (b) restricting the domain of reasonable credal states to those that preclude dilation. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Erkenntnis is a copyright of Springer, 2014. All Rights Reserved. item: Erkenntnis holder: Springer Nature dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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