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  1. Johannes Lenhard (2014). Disciplines, Models, and Computers: The Path to Computational Quantum Chemistry. Studies in History and Philosophy of Science Part A 48:89-96.
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  2. Johannes Lenhard (2013). Coal to Diamonds. Foundations of Science 18 (3):583-586.
    In this commentary to Napoletani et al. (Foundations of Science 16:1–20, 2011), we put agnostic science in a wider historical context of philosophy of mathematics. Secondly, the parallel to Tukey’s “exploratory data analysis” will be discussed. Thirdly, it will be argued that what is new is the mutually interdependent dynamics of data (on which Napoletani et al. focus) and of computational modeling—which puts science closer to engineering and vice versa.
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  3. Johannes Lenhard (2011). Epistemologie der Iteration. Gedankenexperimente und Simulationsexperimente. Deutsche Zeitschrift für Philosophie 59 (1).
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  4. Johannes Lenhard & Eric Winsberg (2011). Holism and Entrenchment in Climate Model Validation. In M. Carrier & A. Nordmann (eds.), Science in the Context of Application. Springer. 115--130.
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  5. Johannes Lenhard (2010). Computation and Simulation. In Julie Thompson Klein & Carl Mitcham (eds.), The Oxford Handbook of Interdisciplinarity. Oup Oxford. 246.
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  6. Johannes Lenhard & Eric Winsberg (2010). Holism, Entrenchment, and the Future of Climate Model Pluralism. Studies in History and Philosophy of Science Part B 41 (3):253-262.
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  7. Johannes Lenhard (2007). Computer Simulation: The Cooperation Between Experimenting and Modeling. Philosophy of Science 74 (2):176-194.
    The goal of the present article is to contribute to the epistemology and methodology of computer simulations. The central thesis is that the process of simulation modeling takes the form of an explorative cooperation between experimenting and modeling. This characteristic mode of modeling turns simulations into autonomous mediators in a specific way; namely, it makes it possible for the phenomena and the data to exert a direct influence on the model. The argumentation will be illustrated by a case study of (...)
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  8. Paul Bohan Broderick, Johannes Lenhard & Arnold Silverberg (2006). Dispositional Versus Epistemic Causality. Minds and Machines 16 (3).
    Noam Chomsky and Frances Egan argue that David Marr’s computational theory of vision is not intentional, claiming that the formal scientific theory does not include description of visual content. They also argue that the theory is internalist in the sense of not describing things physically external to the perceiver. They argue that these claims hold for computational theories of vision in general. Beyond theories of vision, they argue that representational content does not figure as a topic within formal computational theories (...)
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  9. Johannes Lenhard (2006). Book Review. [REVIEW] Minds and Machines 16 (1):95-100.
  10. Johannes Lenhard (2006). Kants Philosophie der Mathematik und die umstrittene Rolle der Anschauung. Kant Studien 97 (3):301-317.
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  11. Johannes Lenhard (2006). Kant's Philosophy of Mathematics and the Disputed Role of the Outlook. Kant-Studien 97 (3):301-317.
     
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  12. Johannes Lenhard (2006). Models and Statistical Inference: The Controversy Between Fisher and Neyman–Pearson. British Journal for the Philosophy of Science 57 (1):69-91.
    The main thesis of the paper is that in the case of modern statistics, the differences between the various concepts of models were the key to its formative controversies. The mathematical theory of statistical inference was mainly developed by Ronald A. Fisher, Jerzy Neyman, and Egon S. Pearson. Fisher on the one side and Neyman–Pearson on the other were involved often in a polemic controversy. The common view is that Neyman and Pearson made Fisher's account more stringent mathematically. It is (...)
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  13. Johannes Lenhard (2006). Paul Humphreys, Extending Ourselves: Computational Science, Empiricism, and Scientific Method, Oxford and New York: Oxford University Press, 2004. Minds and Machines. Journal for Artificial Intelligence, Philosophy and Cognitive Science 16.
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  14. Johannes Lenhard (2006). Surprised by a Nanowire: Simulation, Control, and Understanding. Philosophy of Science 73 (5):605-616.
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  15. Günter Küppers & Johannes Lenhard (2005). Computersimulationen: Modellierungen 2. Ordnung. [REVIEW] Journal for General Philosophy of Science 36 (2):305 - 329.
    Es soll ein Beitrag zur epistemischen Charakterisierung von Computersimulationen als jenseits von Experiment und Theorie geleistet werden. Es wird argumentiert, dass die in der Simulationstechnik eingesetzten Verfahren nicht numerische Lösungen liefern, sondern deren Dynamik mittels generativer Mechanismen imitieren. Die Computersimulationen in der Klimatologie werden als systematisches wie historisches Fallbeispiel behandelt. Erst "Simulationsexperimente" gestatten es, mittels Modellen eine Dynamik zu imitieren, ohne deren Grundgleichungen zu "lösen". /// Computer simulations will be characterized in epistemic respect as a method between experiment and theory. (...)
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  16. Johannes Lenhard (2005). Axiomatics Without Foundations. On the Model-Theoretical Viewpoint In Modern Axiomatics. Philosophia Scientiae 9 (2: Aperçus philosophiques en log):97-107.
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  17. Johannes Lenhard & Michael Otte (2005). Grenzen der Mathematisierung: Von der grundlegenden Bedeutung der Anwendungen. Philosophia Naturalis 42 (1):15-47.
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  18. Johannes Lenhard (2004). Scepticism and Mathematization: Pascal and Peirce on Mathematical Epistemology. Philosophica 74.
    In his Pensées, Pascal introduced the very influential distinction between the subtle intelligence and the geometrical intelligence . In the first part of the present paper Pascal’s distinction is considered by looking at his famous wager argument where Pascal acts as a skeptical philosopher and at the same time as an applied mathematician. This argument employs the esprit de finesse in a way that is of fundamental significance for the epistemology of mathematics. This claim will be backed up in the (...)
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  19. Johannes Lenhard & Michael Otte (2002). Analyse und Synthese oder von Leibniz und Kant zum axiomatischen Denken. Philosophia Naturalis 39 (2).
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