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Subjective and Objective Confirmation

Bibliographic Data

ID10705282
AuthorsPatrick Maher (0000-0001-5059-1062, University of Illinois Urbana-Champaign, corresponding author)
Year1996
Volume63
Issue2
Pages149-174
Publication date1996-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePhilosophy of Science (JOURNAL)
Journal identifiersISSN: 0031-8248 • E-ISSN: 1539-767X
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1086/289906
OpenAlexW2018785753
LanguageEN
Citations received23
References cited22

Confirmation is commonly identified with positive relevance, E being said to confirm H if and only if E increases the probability of H . Today, analyses of this general kind are usually Bayesian ones that take the relevant probabilities to be subjective. I argue that these subjective Bayesian analyses are irremediably flawed. In their place I propose a relevance analysis that makes confirmation objective and which, I show, avoids the flaws of the subjective analyses. What I am proposing is in some ways a return to Carnap's conception of confirmation, though there are also important differences between my analysis and his. My analysis includes new accounts of what evidence is and of the indexicality of confirmation claims. Finally, I defend my analysis against Achinstein's criticisms of the relevance concept of confirmation

Bayesian probability · Epistemology · Indexicality · Political science · Relevance (law) · Artificial Intelligence · Computer Science · Epistemology, Ethics, and Metaphysics · Law · Philosophy · Philosophy and History of Science · Philosophy and Theoretical Science · Psychology

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  • Probability and evidence

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Unique citing works23
Citations per year0,77
Citation span1996 - 2024 (29)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 23

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