Probabilistic consequence relations.

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Title: Probabilistic consequence relations.
Authors: Égré, Paul1 (AUTHOR), Ripley, Ellie2 (AUTHOR)
Source: Journal of Logic & Computation. Dec2025, Vol. 35 Issue 8, p1-29. 29p.
Subjects: Inference (Logic), Propositional calculus, Conditionals (Logic), Distribution (Probability theory)
Abstract: This paper investigates logical consequence defined in terms of probability distributions, for a classical propositional language using a standard notion of probability. We examine three distinct probabilistic consequence notions, which we call material consequence , preservation consequence and symmetric consequence. While material consequence is fully classical for any threshold, preservation consequence and symmetric consequence are subclassical, with only symmetric consequence gradually approaching classical logic at the limit threshold equal to 1. Our results extend earlier results obtained by J. Paris in a |$\text{Set-Fmla}$| setting to the Set-Set setting, and consider open thresholds beside closed ones. In the Set-Set setting, in particular, they reveal that probability 1 preservation does not yield classical logic, but supervaluationism, and conversely positive probability preservation yields subvaluationism. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Logic & Computation is the property of Oxford University Press / USA 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. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 190650840
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Probabilistic consequence relations.
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  Data: <searchLink fieldCode="AR" term="%22Égré%2C+Paul%22">Égré, Paul</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ripley%2C+Ellie%22">Ripley, Ellie</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Logic+%26+Computation%22">Journal of Logic & Computation</searchLink>. Dec2025, Vol. 35 Issue 8, p1-29. 29p.
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  Data: <searchLink fieldCode="DE" term="%22Inference+%28Logic%29%22">Inference (Logic)</searchLink><br /><searchLink fieldCode="DE" term="%22Propositional+calculus%22">Propositional calculus</searchLink><br /><searchLink fieldCode="DE" term="%22Conditionals+%28Logic%29%22">Conditionals (Logic)</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink>
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  Data: This paper investigates logical consequence defined in terms of probability distributions, for a classical propositional language using a standard notion of probability. We examine three distinct probabilistic consequence notions, which we call material consequence , preservation consequence and symmetric consequence. While material consequence is fully classical for any threshold, preservation consequence and symmetric consequence are subclassical, with only symmetric consequence gradually approaching classical logic at the limit threshold equal to 1. Our results extend earlier results obtained by J. Paris in a |$\text{Set-Fmla}$| setting to the Set-Set setting, and consider open thresholds beside closed ones. In the Set-Set setting, in particular, they reveal that probability 1 preservation does not yield classical logic, but supervaluationism, and conversely positive probability preservation yields subvaluationism. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Logic & Computation is the property of Oxford University Press / USA 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. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1093/logcom/exae076
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
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        PageCount: 29
        StartPage: 1
    Subjects:
      – SubjectFull: Inference (Logic)
        Type: general
      – SubjectFull: Propositional calculus
        Type: general
      – SubjectFull: Conditionals (Logic)
        Type: general
      – SubjectFull: Distribution (Probability theory)
        Type: general
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      – TitleFull: Probabilistic consequence relations.
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            NameFull: Égré, Paul
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            NameFull: Ripley, Ellie
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 35
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              Value: 8
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            – TitleFull: Journal of Logic & Computation
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