Probabilistic measures of coherence: from adequacy constraints towards pluralism.

The debate on probabilistic measures of coherence flourishes for about 15 years now. Initiated by papers that have been published around the turn of the millennium, many different proposals have since then been put forward. This contribution is partly devoted to a reassessment of extant coherence me...

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Publicado en:Synthese Vol. 191; no. 16; pp. 3821 - 3846
Autor principal: Schippers, Michael
Formato: Artículo
Publicado: Springer Nature Nov2014
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au: Schippers, Michael
        affil: University of Oldenburg, 26111 Oldenburg Germany
      su:
        Probability theory
        Proposition (Logic)
        Mathematics
        Coherence (Philosophy)
        Theory of knowledge
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          Probability theory
          Proposition (Logic)
          Mathematics
          Coherence (Philosophy)
          Theory of knowledge
      keyword:
        Confirmation measures
        Probabilistic measures of coherence
        Probabilistic support
      ab: The debate on probabilistic measures of coherence flourishes for about 15 years now. Initiated by papers that have been published around the turn of the millennium, many different proposals have since then been put forward. This contribution is partly devoted to a reassessment of extant coherence measures. Focusing on a small number of reasonable adequacy constraints I show that (i) there can be no coherence measure that satisfies all constraints, and that (ii) subsets of these adequacy constraints motivate two different classes of coherence measures. These classes do not coincide with the common distinction between coherence as mutual support and coherence as relative set-theoretic overlap. Finally, I put forward arguments to the effect that for each such class of coherence measures there is an outstanding measure that outperforms all other extant proposals. One of these measures has recently been put forward in the literature, while the other one is based on a novel probabilistic measure of confirmation.
      pubtype: Academic Journal
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    language: English
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