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Isabelle Drouet
Université Paris-Sorbonne
  1.  67
    The Propensity Interpretation of Fitness and the Propensity Interpretation of Probability.Isabelle Drouet & Francesca Merlin - 2015 - Erkenntnis 80 (S3):457-468.
    The paper provides a new critical perspective on the propensity interpretation of fitness, by investigating its relationship to the propensity interpretation of probability. Two main conclusions are drawn. First, the claim that fitness is a propensity cannot be understood properly: fitness is not a propensity in the sense prescribed by the propensity interpretation of probability. Second, this interpretation of probability is inessential for explanations proposed by the PIF in evolutionary biology. Consequently, interpreting the probabilistic dimension of fitness in terms of (...)
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  2.  92
    Is Determinism More Favorable Than Indeterminism for the Causal Markov Condition?Isabelle Drouet - 2009 - Philosophy of Science 76 (5):662-675.
    The present text comments on Steel 2005 , in which the author claims to extend from the deterministic to the general case, the result according to which the causal Markov condition is satisfied by systems with jointly independent exogenous variables. I show that Steel’s claim cannot be accepted unless one is prepared to abandon standard causal modeling terminology. Correlatively, I argue that the most fruitful aspect of Steel 2005 consists in a realist conception of error terms, and I show how (...)
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  3. Identifying Intervention Variables.Michael Baumgartner & Isabelle Drouet - 2013 - European Journal for Philosophy of Science 3 (2):183-205.
    The essential precondition of implementing interventionist techniques of causal reasoning is that particular variables are identified as so-called intervention variables. While the pertinent literature standardly brackets the question how this can be accomplished in concrete contexts of causal discovery, the first part of this paper shows that the interventionist nature of variables cannot, in principle, be established based only on an interventionist notion of causation. The second part then demonstrates that standard observational methods that draw on Bayesian networks identify intervention (...)
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  4.  2
    Causality, a Trialogue.Antoine Chambaz, Isabelle Drouet & Jean-Christophe Thalabard - 2014 - Journal of Causal Inference 2 (2).
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  5.  5
    Contrefactuels en histoire : du mot au mode d'emploi. Le moment de la new economic history.Isabelle Drouet & Dupouy - 2012 - Labyrinthe 39:81-112.
    L’approche contrefactuelle désigne, pour les historiens, une forme particulière que peut prendre le récit historique ou la pratique de l’histoire. Raisonner contrefactuellement, dans ce cadre, c’est se demander ce qui se serait passé si la réalité avait été différente. Le plus souvent, il s’agit de supprimer en pensée un événement ou une réalité historique et de s’interroger sur les conséquences de cette suppression. Que se serait-il passé si Hitler était mort pendant la Première Guerre mondi..
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  6. Causal Inference. How Can Bayes Nets Contribute?Isabelle Drouet - 2007 - In Federica Russo & Jon Williamson (eds.), Causality and Probability in the Sciences. pp. 487--501.
  7.  93
    Causal Reasoning, Causal Probabilities, and Conceptions of Causation.Isabelle Drouet - 2012 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 43 (4):761-768.
    The present paper deals with the tools that can be used to represent causation and to reason about it and, specifically, with their diversity. It focuses on so-called “causal probabilities”—that is, probabilities of effects given one of their causes—and critically surveys a recent paper in which Joyce argues that the values of these probabilities do not depend on one’s conception of causation. I first establish a stronger independence claim: I show that the very definition of causal probabilities is independent of (...)
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  8.  11
    Propensions popperiennes et puissances aristotéliciennes: De l'interprétation des probabilités à la métaphysique.Isabelle Drouet - 2012 - Philosophie 114 (3):50-73.
    Telle qu’elle s’est développée depuis les années 1920, la philosophie des probabilités s’organise presque tout entière autour de la question de l’interprétation des probabilités. En première approche, cette question peut être définie comme celle de savoir ce que les énoncés probabilistes signifient. Que veut dire, par exemple, que la probabilité d’obtenir pile à l’issue du lancer d’une pièce équilibrée...
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  9.  32
    Things Metaphysics Can Learn From Physics: Tim Maudlin: The Metaphysics Within Physics. New York: Oxford University Press, 2007, 197pp, £17.99 PB.Isabelle Drouet - 2012 - Metascience 21 (1):83-85.
    Things metaphysics can learn from physics Content Type Journal Article Pages 1-3 DOI 10.1007/s11016-010-9515-z Authors Isabelle Drouet, Institut Supérieur de Philosophie, Université Catholique de Louvain, Place du cardinal Mercier 14, 1348 Louvain-la-Neuve, Belgium Journal Metascience Online ISSN 1467-9981 Print ISSN 0815-0796.
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