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  1. 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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  2. Marion Vorms (2014). The Birth of Classical Genetics as the Junction of Two Disciplines: Conceptual Change as Representational Change. Studies in History and Philosophy of Science Part A 48:105-116.
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  3. Marion Vorms (2013). Models of Data and Theoretical Hypotheses: A Case-Study in Classical Genetics. Synthese 190 (2):293-319.
    Linkage (or genetic) maps are graphs, which are intended to represent the linear ordering of genes on the chromosomes. They are constructed on the basis of statistical data concerning the transmission of genes. The invention of this technique in 1913 was driven by Morgan's group's adoption of a set of hypotheses concerning the physical mechanism of heredity. These hypotheses were themselves grounded in Morgan's defense of the chromosome theory of heredity, according to which chromosomes are the physical basis of genes. (...)
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  4. Marion Vorms (2013). Theorizing and Representational Practices in Classical Genetics. Biological Theory 7 (4):311-324.
    In this paper, I wish to challenge theory-biased approaches to scientific knowledge, by arguing for a study of theorizing, as a cognitive activity, rather than of theories, as abstract structures independent from the agents’ understanding of them. Such a study implies taking into account scientists’ reasoning processes, and their representational practices. Here, I analyze the representational practices of geneticists in the 1910s, as a means of shedding light on the content of classical genetics. Most philosophical accounts of classical genetics fail (...)
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  5. Marion Vorms & Christopher Pincock (2013). Preface. Synthese 190 (2):187-188.
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  6. Marion Vorms (2012). A-Not-B Errors: Testing the Limits of Natural Pedagogy Theory. Review of Philosophy and Psychology 3 (4):525-545.
    Gergely and Csibra's theory, known as "natural pedagogy theory", is meant to explain how infants fast-learn generic knowledge from adults. In this paper, my goal is to assess the explanatory import of this theory in a particular case, namely the phenomena known as "A-not-B errors". I first propose a clarification of natural pedagogy theory's fundamental hypotheses. Then, I describe Topál et al.'s (Science, 321, 1831-1834, 2008) experiments, which consist in applying natural pedagogy theory's framework to the A-not-B errors. Finally, I (...)
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  7. Marion Vorms, Book Review: R. Frigg & M. C. Hunter, Eds. 2010. Beyond Mimesis and Convention: Representation in Art and Science. Dordrecht: Springer. [REVIEW]
    The book edited by Roman Frigg and Matthew C. Hunter is a great example of interdisciplinary collaborative work, bringing together contributions by scholars of science and of art, around the topic of representation. The collection consists of eleven essays, seven of which were presented in early form at a conference organized by the two editors at the London School of Economics and the Courtauld Institute of Art in June 2006; the other four have been added subsequently. The result is a (...)
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  8. Marion Vorms, Ernest Nagel's Conception of Models: When Agents Get Into the Picture of Theories.
    In this paper, I analyze the significance of Ernest Nagel's introduction of the notion of model in his reconstruction of scientific theories. Nagel's account is generally considered as a version of the "received view" of theories, whose main advocate is Carnap. However, I will show that Nagel's considerations on models imply a renunciation to the logical empiricists' project of the formalization of scientific theories. I will argue that Nagel implicitly acknowledges that, in order to study the content of theories, one (...)
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  9. Marion Vorms (2012). R. Frigg & M.C. Hunter, Eds. 2010. Beyond Mimesis and Convention (Marion Vorms). Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 27 (3):391-394.
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  10. Marion Vorms & David Lagnado, The Role of Models in Mind and Science.
    During the last few decades, models have become the centre of attention in both cognitive science and philosophy of science. In cognitive science, the claim that humans reason with mental models, rather than mentally manipulate linguistic symbols, is the majority view. Similarly, philosophers of science almost unanimously acknowledge that models have to be taken as a central unit of analysis. Moreover, some philosophers of science and cognitive scientists have suggested that the cognitive hypothesis of mental models is a promising way (...)
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  11. Marion Vorms & Christopher Pincock, Models and Simulations.
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  12. Anouk Barberousse, Henri Galinon & Marion Vorms, Collaborative Computer Simulations in Climate Science.
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  13. Marion Vorms, Genetic Mapping as the Merging of Two Disciplines' Representational Practices.
    In this paper, I propose a study of the invention and development of the technique of genetic mapping in the 1920's. I show that what is usually taken as one and the same theory (Classical Genetics) is in fact the result of the articulation of various levels of explanations corresponding to two different disciplines, with different methods and representational practices -- namely Mendelian theory and cytology. The merging of these two disciplinary frameworks is embodied in the very rules underlying the (...)
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  14. Marion Vorms (2011). Representing with Imaginary Models: Formats Matter. Studies in History and Philosophy of Science 42 (2):287-295.
    Models such as the simple pendulum, isolated populations, and perfectly rational agents, play a central role in theorising. It is now widely acknowledged that a study of scientific representation should focus on the role of such imaginary entities in scientists’ reasoning. However, the question is most of the time cast as follows: How can fictional or abstract entities represent the phenomena? In this paper, I show that this question is not well posed. First, I clarify the notion of representation, and (...)
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  15. Marion Vorms, The Versions of Classical Mechanics: An Agent-Centered View on the Content of Theories.
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  16. Marion Vorms & Anouk Barberousse, How Are Scientific Theories to Be Analyzed? Representational and Computational Aspects.
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  17. Marion Vorms, Natural Pedagogy and A-Not-B Tasks.
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  18. Marion Vorms (2010). The Theoretician's Gambits: Scientific Representations, Their Formats and Content. In Lorenzo Magnani, Walter Carnielli & Claudio Pizzi (eds.), Model-Based Reasoning in Science and Technology. Springer. 533--558.
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  19. Marion Vorms, What Are Genetic Maps Visualizations Of?
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  20. Marion Vorms, What Do Genetic Maps Represent (and How)?
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  21. Marion Vorms, Conceptual Role Semantics and Theory Understanding: The Case of Classical Mechanics.
  22. Marion Vorms (2008). À l'épreuve du monde : l'éducation au sens large. Les Etudes Philosophiques 3 (3):155-267.
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  23. Marion Vorms, Models and Formats of Representation.
    Models are generally used by scientists to obtain predictions and to provide explanations about phenomena. Their predictive and explanatory power is generally thought of as depending on their representative power. It is still not clear, though, in virtue of which features models allow scientists to draw inferences about the system they stand for. In this paper, I focus on a special kind of models, namely imaginary models (I-models) such as the simple pendulum. The main question I address is: how do (...)
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  24. Marion Vorms, Scientific Theorizing Through Genetic Mapping.
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  25. Marion Vorms, Templates, Exemplars, and Formats.
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