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Profile: Anouk Barberousse (Université Lille 1)
  1. Anouk Barberousse & Cyrille Imbert (forthcoming). Cellular Automata in Fluid Dynamics: Not so Different. Studies in History and Philosophy of Modern Physics.
  2. Paul Égré & Anouk Barberousse (forthcoming). Borel on the Heap. Erkenntnis:1-37.
    In 1907 Borel published a remarkable essay on the paradox of the Heap (“Un paradoxe économique: le sophisme du tas de blé et les vérités statistiques”), in which Borel proposes what is likely the first statistical account of vagueness ever written, and where he discusses the practical implications of the sorites paradox, including in economics. Borel’s paper was integrated in his book Le Hasard, published 1914, but has gone mostly unnoticed since its publication. One of the originalities of Borel’s essay (...)
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  3. Anouk Barberousse & Cyrille Imbert (2014). Recurring Models and Sensitivity to Computational Constraints. The Monist 97 (3):259-279.
    Why are some models, like the harmonic oscillator, the Ising model, a few Hamiltonian equations in quantum mechanics, the poisson equation, or the Lokta-Volterra equations, repeatedly used within and across scientific domains, whereas theories allow for many more modeling possibilities? Some historians and philosophers of science have already proposed plausible explanations. For example, Kuhn and Cartwright point to a tendency toward conservatism in science, and Humphreys emphasizes the importance of the intractability of what he calls “templates.” This paper investigates more (...)
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  4. Anouk Barberousse & Marion Vorms (2014). About the Warrants of Computer-Based Empirical Knowledge. Synthese 191 (15):3595-3620.
    Computer simulations are widely used in current scientific practice, as a tool to obtain information about various phenomena. Scientists accordingly rely on the outputs of computer simulations to make statements about the empirical world. In that sense, simulations seem to enable scientists to acquire empirical knowledge. The aim of this paper is to assess whether computer simulations actually allow for the production of empirical knowledge, and how. It provides an epistemological analysis of present-day empirical science, to which the traditional epistemological (...)
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  5. Anouk Barberousse (2013). What Is the Use of Diagrams in Theoretical Modeling? Science in Context 26 (2):345-362.
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  6. Anouk Barberousse & Cyrille Imbert (2013). New Mathematics for Old Physics: The Case of Lattice Fluids. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 44 (3):231-241.
    We analyze the effects of the introduction of new mathematical tools on an old branch of physics by focusing on lattice fluids, which are cellular automata -based hydrodynamical models. We examine the nature of these discrete models, the type of novelty they bring about within scientific practice and the role they play in the field of fluid dynamics. We critically analyze Rohrlich's, Fox Keller's and Hughes' claims about CA-based models. We distinguish between different senses of the predicates “phenomenological” and “theoretical” (...)
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  7. Thomas Boyer & Anouk Barberousse (2013). Interpréter une théorie physique. Methodos 13.
    Les théories physiques sont aujourd'hui très mathématisées, et ce que les scientifiques manipulent pour décrire, prédire et contrôler les phénomènes, ce sont (entre autres) des équations, comportant de nombreux symboles mathématiques. Ces objets mathématiques n'ont pas de signification physique en eux-mêmes : ils ne « parlent » pas d'eux-mêmes des phénomènes. Une interprétation est nécessaire. Ce qui nous intéresse dans cet article est ainsi l'interprétation dont une théorie physique doit faire l'objet pour remplir son rôle. Nous commençons par expliciter une (...)
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  8. Anouk Barberousse, Henri Galinon & Marion Vorms, Collaborative Computer Simulations in Climate Science.
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  9. Marion Vorms & Anouk Barberousse, How Are Scientific Theories to Be Analyzed? Representational and Computational Aspects.
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  10. Marcus Vinícius C. Baldo & Anouk Barberousse (2010). Person as Moralist and Scientist. Behavioral and Brain Sciences 33 (4):331.
    Scientific inquiry possibly shares with people's ordinary understanding the same evolutionary determinants, and affect-laden intuitions that shape moral judgments also play a decisive role in decision-making, planning, and scientific reasoning. Therefore, if ordinary understanding does differ from scientific inquiry, the reason does not reside in the fact that the former (but not the latter) is endowed with moral considerations.
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  11. Anouk Barberousse (2010). The Role of Self-Organization in Developmental Systems Theory and the Neo-Darwinian, Theory of Evolution. Biological Theory 5 (3):202-205.
  12. Anouk Barberousse, Francesca Merlin & Thomas Pradeu (2010). Introduction: Reassessing Developmental Systems Theory. Biological Theory 5 (3):199-201.
    The Developmental Systems Theory (DST) presented by its proponents as a challenging approach in biology is aimed at transforming the workings of the life sciences from both a theoretical and experimental point of view (see, in particular, Oyama [1985] 2000; Oyama et al. 2001). Even though some may have the impression that the enthusiasm surrounding DST has faded in very recent years, some of the key concepts, ideas, and visions of DST have in fact pervaded biology and philosophy of biology. (...)
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  13. Anouk Barberousse, Sara Franceschelli & Cyrille Imbert (2009). Computer Simulations as Experiments. Synthese 169 (3):557 - 574.
    Whereas computer simulations involve no direct physical interaction between the machine they are run on and the physical systems they are used to investigate, they are often used as experiments and yield data about these systems. It is commonly argued that they do so because they are implemented on physical machines. We claim that physicality is not necessary for their representational and predictive capacities and that the explanation of why computer simulations generate desired information about their target system is only (...)
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  14. Anouk Barberousse & Pascal Ludwig, Models as Fictions.
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  15. Anouk Barberousse, Michel Morange & Thomas Pradeu (2009). Mapping the Future of Biology: Evolving Concepts and Theories Vol. 266. Springer.
     
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  16. Anouk Barberousse (2008). Les simulations numériques de l'évolution du climat : de nouveaux problèmes philosophiques ? Revue Philosophique de la France Et de l'Etranger 3 (3):299-308.
    L’étude de l’évolution du climat passe nécessairement par des simulations numériques. Leur utilisation a été remise en cause en raison des incertitudes qui affectent leurs résultats. Cet article présente les différentes composantes des simulations numériques utilisées en climatologie et en propose une analyse épistémologique. La conclusion en est que ces simulations numériques procèdent des exigences scientifiques plus généralement à l’œuvre dans la science contemporaine.In order to study the evolution of global climate, computer simulation is required. The use of computer simulation (...)
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  17. Anouk Barberousse, A Case of Irrationality?
    Were Maxwell and Boltzmann irrational to develop statistical mechanics whereas it was empirically refuted by the specific heats problem? My analysis of this historical episode departs from the current proposals about belief change. I first give a detailed description of Maxwell's and Boltzmann's epistemic states in the years they were working on statistical mechanics and then make some methodological proposals in epistemology that would account for the complexity of this case.
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  18. Anouk Barberousse (2007). Are Specific Heats Dispositions? In Gnassounou Bruno & Kistler Max (eds.), Dispositions and Causal Powers. Ashgate. 271--282.
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  19. Anouk Barberousse, Sara Franceschelli & Cyrille Imbert, Cellular Automata, Modeling, and Computation.
    Cellular Automata (CA) based simulations are widely used in a great variety of domains, fromstatistical physics to social science. They allow for spectacular displays and numerical predictions. Are they forall that a revolutionary modeling tool, allowing for “direct simulation”, or for the simulation of “the phenomenon itself”? Or are they merely models "of a phenomenological nature rather than of a fundamental one”? How do they compareto other modeling techniques? In order to answer these questions, we present a systematic exploration of (...)
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  20. Anouk Barberousse & Marcus Vinicius Baldo (2006). Person as Moralist and Scientist, Comment on Knobe. Behavioral and Brain Sciences 33 (4).
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  21. Anouk Barberousse (2003). The Diversity of Models in Statistical Mechanics: Views About the Structure of Scientific Theories. In Benedikt Löwe, Thoralf Räsch & Wolfgang Malzkorn (eds.), Foundations of the Formal Sciences Ii. Kluwer. 1--23.
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  22. Anouk Barberousse (2000). La Physique Face À la Probabilité. Vrin.
    Comment comprendre les énoncés statistiques et probabilistes? Cette question concerne aussi bien le domaine scientifique que notre vie quotidienne. Nous attribuons constamment des degrés de possibilité aux événements que nous envisageons, et nous tirons des inférences à partir de ces attributions. Comment ces inférences sont-elles justifiées? Quelle est la signification de leurs conclusions? Ce livre tente d’apporter une réponse philosophique à ces questions, en explorant divers aspects de la philosophie des probabilités.Les probabilités jouent en outre un rôle considérable dans l’activité (...)
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