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 direction, we first present a general characterization of both deterministic and probabilistic truth approximation; then, we introduce a new account of verisimilitude which provides a simple formal framework to deal with such issue in a unified way. The connections of our account with some other proposals in the literature are also briefly discussed.
|Titolo:||Approaching deterministic and probabilistic truth: a unified account|
CEVOLANI, GUSTAVO (Corresponding)
|Data di pubblicazione:||2021|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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|Cevolani & Festa 2021 Approaching Deterministic and Probabilistic truth.pdf||Versione Editoriale (PDF)||Nessuna licenza||Open Access Visualizza/Apri|