• Medientyp: E-Artikel
  • Titel: Approaching deterministic and probabilistic truth: a unified account
  • Beteiligte: Cevolani, Gustavo; Festa, Roberto
  • Erschienen: Springer Science and Business Media LLC, 2021
  • Erschienen in: Synthese
  • Sprache: Englisch
  • DOI: 10.1007/s11229-021-03298-y
  • ISSN: 0039-7857; 1573-0964
  • Schlagwörter: General Social Sciences ; Philosophy
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>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.</jats:p>