Probability Theory and Causation: A Branching Space-Times Analysis.

We provide a formally rigorous framework for integrating singular causation, as understood by Nuel Belnap's theory of causae causantes, and objective single case probabilities. The central notion is that of a causal probability space whose sample space consists of causal alternatives. Such a probabi...

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Publicado en:British Journal for the Philosophy of Science Vol. 56; no. 3; pp. 487 - 521
Autor principal: Müller, Thomas
Formato: Artículo
Publicado: University of Chicago Press Sep2005
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Probability Theory and Causation: A Branching Space-Times Analysis.
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        au: Müller, Thomas
        affil: Philosophisches Seminar, LFB III, Universität Bonn, Lennéstr. 39, 53113 Bonn, Germany
      su:
        Causation (Philosophy)
        Philosophy
        Probability theory
        Spacetime
        Markov processes
        Stochastic processes
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        subj:
          Causation (Philosophy)
          Philosophy
          Probability theory
          Spacetime
          Markov processes
          Stochastic processes
      ab: We provide a formally rigorous framework for integrating singular causation, as understood by Nuel Belnap's theory of causae causantes, and objective single case probabilities. The central notion is that of a causal probability space whose sample space consists of causal alternatives. Such a probability space is generally not isomorphic to a product space. We give a causally motivated statement of the Markov condition and an analysis of the concept of screening-off.
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      src: R
    language: English
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