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Glauber De Bona

Biographic Data

ID5911337
NAMEGlauber De Bona
GIVEN NAMESGlauber
FAMILY NAMEDe Bona
SIGNATUREDE BONA G
AFFILIATIONSUniversidade de São Paulo Sao Paulo São Paulo Brazil
ORCID0000-0002-6795-9887
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS8
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2024
H-INDEX1
  • An Improved Argument for Superconditionalization

    Open Access•Julia Staffel, Glauber De Bona•ARTICLE•Erkenntnis•2024

  • Updating incoherent credences ‐ Extending the Dutch strategy argument for conditionalization

    Open Access•Glauber De Bona, Julia Staffel•ARTICLE•Philosophy and Phenomenological…•2021•References: 1

    In this paper, we ask: how should an agent who has incoherent credences update when they learn new evidence? The standard Bayesian answer for coherent agents is that they should conditionalize; however, this updating rule is not defined for incoherent starting credences. We show how one of the main arguments for conditionalization, the Dutch strategy argument, can be extended to devise a target property for updating plans that can apply to them r…

  • Graded Incoherence for Accuracy-Firsters

    Open Access•Glauber De Bona, Julia Staffel•ARTICLE•Philosophy of Science•2017•Cited by: 8•References: 18

    This article investigates the relationship between two evaluative claims about agents’ degrees of belief: (i) that it is better to have more rather than less accurate degrees of belief and (ii) that it is better to have less rather than more probabilistically incoherent degrees of belief. We show that, for suitable combinations of inaccuracy measures and incoherence measures, both claims are compatible, although not equivalent; moreover, certain …

  • Graded Incoherence for Accuracy-Firsters

    Open Access•Glauber De Bona, Julia Staffel•ARTICLE•Philosophy of Science•2017•Cited by: 8•References: 18

    This article investigates the relationship between two evaluative claims about agents’ degrees of belief: (i) that it is better to have more rather than less accurate degrees of belief and (ii) that it is better to have less rather than more probabilistically incoherent degrees of belief. We show that, for suitable combinations of inaccuracy measures and incoherence measures, both claims are compatible, although not equivalent; moreover, certain …

  • Graded Incoherence for Accuracy-Firsters

    Open Access•Glauber De Bona, Julia Staffel•ARTICLE•Philosophy of Science•2017•Cited by: 8•References: 18

    This article investigates the relationship between two evaluative claims about agents’ degrees of belief: (i) that it is better to have more rather than less accurate degrees of belief and (ii) that it is better to have less rather than more probabilistically incoherent degrees of belief. We show that, for suitable combinations of inaccuracy measures and incoherence measures, both claims are compatible, although not equivalent; moreover, certain …

  • Updating incoherent credences ‐ Extending the Dutch strategy argument for conditionalization

    Open Access•Glauber De Bona, Julia Staffel•ARTICLE•Philosophy and Phenomenological…•2021•References: 1

    In this paper, we ask: how should an agent who has incoherent credences update when they learn new evidence? The standard Bayesian answer for coherent agents is that they should conditionalize; however, this updating rule is not defined for incoherent starting credences. We show how one of the main arguments for conditionalization, the Dutch strategy argument, can be extended to devise a target property for updating plans that can apply to them r…

  • An Improved Argument for Superconditionalization

    Open Access•Julia Staffel, Glauber De Bona•ARTICLE•Erkenntnis•2024

Computer Science (3 works) · Epistemology, Ethics, and Metaphysics (3 works) · Decision-Making and Behavioral Economics (2 works) · Epistemology (2 works) · Mathematics (2 works) · Philosophy (2 works) · Philosophy and History of Science (2 works) · Argument (complex analysis (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)

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