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  1. Approaching deterministic and probabilistic truth: a unified account.Gustavo Cevolani & Roberto Festa - 2021 - Synthese 199 (3-4):11465-11489.
    The basic problem of a theory of truth approximation is defining when a theory is “close to the truth” about some relevant domain. Existing accounts of truthlikeness or verisimilitude address this problem, but are usually limited to the problem of approaching a “deterministic” truth by means of deterministic theories. A general theory of truth approximation, however, should arguably cover also cases where either the relevant theories, or “the truth”, or both, are “probabilistic” in nature. As a step forward in this (...)
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  • (1 other version)A partial consequence account of truthlikeness.Gustavo Cevolani & Roberto Festa - 2018 - Synthese:1-20.
    Popper’s original definition of truthlikeness relied on a central insight: that truthlikeness combines truth and information, in the sense that a proposition is closer to the truth the more true consequences and the less false consequences it entails. As intuitively compelling as this definition may be, it is untenable, as proved long ago; still, one can arguably rely on Popper’s intuition to provide an adequate account of truthlikeness. To this aim, we mobilize some classical work on partial entailment in defining (...)
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  • (1 other version)A partial consequence account of truthlikeness.Gustavo Cevolani & Roberto Festa - 2020 - Synthese 197 (4):1627-1646.
    Popper’s original definition of truthlikeness relied on a central insight: that truthlikeness combines truth and information, in the sense that a proposition is closer to the truth the more true consequences and the less false consequences it entails. As intuitively compelling as this definition may be, it is untenable, as proved long ago; still, one can arguably rely on Popper’s intuition to provide an adequate account of truthlikeness. To this aim, we mobilize some classical work on partial entailment in defining (...)
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