41 found
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  1.  30
    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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  2.  86
    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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  3.  8
    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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  4. Günter Küppers & Johannes Lenhard (2005). Computersimulationen: Modellierungen 2. Ordnung. [REVIEW] Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 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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  5.  17
    Johannes Lenhard (2006). Surprised by a Nanowire: Simulation, Control, and Understanding. Philosophy of Science 73 (5):605-616.
    This paper starts by looking at the coincidence of surprising behavior on the nanolevel in both matter and simulation. It uses this coincidence to argue that the simulation approach opens up a pragmatic mode of understanding oriented toward design rules and based on a new instrumental access to complex models. Calculations, and their variation by means of explorative numerical experimentation and visualization, can give a feeling for a model's behavior and the ability to control phenomena, even if the model itself (...)
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  6.  3
    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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  7.  6
    Johannes Lenhard (2006). Surprised by a Nanowire: Simulation, Control, and Understanding. Philosophy of Science 73 (5):605-616.
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  8. Johannes Lenhard & Eric Winsberg (2010). Holism, Entrenchment, and the Future of Climate Model Pluralism. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 41 (3):253-262.
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  9.  13
    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 second (...)
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  10.  40
    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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  11.  3
    Johannes Lenhard (2015). Simulation, Representation, and Cartography: Compiling a Virtual Atlas. Perspectives on Science 23 (4):386-404.
    It is a commonplace that “the map is not the territory.” The phrase goes back to Alfred Korzybski, while the insight—formulated by insisting on an apparent triviality—is surely older and has received poetical expressions from Lewis Carroll and Jorge Luis Borges among others. The difference between map and territory is a difference of categories and is at the base of the representation relation. Hence maps play a prominent role in the discourse about representation which takes place in a number of (...)
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  12.  54
    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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  13.  4
    Johannes Lenhard (2006). Book Review. [REVIEW] Minds and Machines 16 (1):95-100.
  14.  3
    Johannes Lenhard & Michael Otte (2002). Analyse und Synthese oder von Leibniz und Kant zum axiomatischen Denken. Philosophia Naturalis 39 (2):259-292.
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  15. Johannes Lenhard & Michael Otte (2005). Grenzen der Mathematisierung: Von der grundlegenden Bedeutung der Anwendungen. Philosophia Naturalis 42 (1):15-47.
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  16.  26
    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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  17.  1
    Johannes Lenhard (2014). Autonomy and Automation: Computational Modeling, Reduction, and Explanation in Quantum Chemistry. The Monist 97 (3):339-358.
    This paper discusses how computational modeling combines the autonomy of models with the automation of computational procedures. In particular, the case of ab-initio methods in quantum chemistry will be investigated to draw two lessons from the analysis of computational modeling. The first belongs to general philosophy of science: Computational modeling faces a trade-off and enlarges predictive force at the cost of explanatory force. The other lesson is about the philosophy of chemistry: The methodology of computational modeling puts into doubt claims (...)
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  18.  1
    Johannes Lenhard (2015). 8. Epistemologie und Simulation – Fazit und Ausblick. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 175-190.
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  19.  3
    Johannes Lenhard (2005). Axiomatics Without Foundations. On the Model-Theoretical Viewpoint In Modern Axiomatics. Philosophia Scientiae 9 (2: Aperçus philosophiques en log):97-107.
    Two conflicting interpretations of modern axiomatics will be considered. The logico-analytical interpretation goes back to Pasch, while the model-theoretical approach stems from Hilbert. This perspective takes up the distinction between logic as calculus ratiocinator versus lingua characterica that Heijenoort and Hintikka placed emphasis on. It is argued that the Heijenoort-Hintikka distinction can be carried over from logic to mathematical axiomatics. In particular, the model-theoretical viewpoint is deeply connected to a philosophy of mathematics that is not committed to a foundational perspective, (...)
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  20.  15
    Johannes Lenhard (2006). Kants Philosophie der Mathematik und die umstrittene Rolle der Anschauung. Kant-Studien 97 (3):301-317.
    Einleitung Die Kantische Philosophie der Mathematik ist nach einer weitverbreiteten Meinung in ihren Grundzügen überholt. Die moderne Mathematik gilt, ganz unkantisch, als analytisches Denken. Im folgenden soll für eine partielle Verteidigung von Kants Philosophie der Mathematik argumentiert werden. Sie hat nämlich den Gegenstandsbezug der Mathematik und deren Anwendungsrelation zu ihrem zentralen Problem gemacht. Für Kant war es die Anschauung, die den gegenständlichen Bezug ermöglichen sollte und in dieser Funktion ist sie, wie von einem anwendungsorientierten Standpunkt aus argumentiert wird, keineswegs überholt. (...)
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  21.  5
    Johannes Lenhard (2011). Epistemologie der Iteration. Gedankenexperimente und Simulationsexperimente. Deutsche Zeitschrift für Philosophie 59 (1):131-145.
    Thought experiments and simulation experiments are compared and contrasted with each other. While the former rely on epistemic transparency as a working condition, in the latter complexity of model dynamics leads to epistemic opacity. The difference is elucidated by a discussion of the different kinds of iteration that are at work in both sorts of experiment.
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  22.  1
    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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  23.  1
    Johannes Lenhard (2015). FrontmatterVorwortInhaltEinleitungTeil I: Ein neuer Typ mathematischer Modellierung1. Experiment und Artifizialität2. Visualisierung und Interaktion3. Plastizität4. Epistemische Opazität5. Ein neuer Typ mathematischer ModellierungTeil II: Begriffliche Verschiebungen6. Lösung oder Imitation?7. Validierung und Grenzen der AnalyseTeil III: Fazit und Ausblick8. Epistemologie und Simulation – Fazit und AusblickLiteraturNamenindexSachindex. [REVIEW] In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 1-12.
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  24. 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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  25. Günter Küppers & Johannes Lenhard (2006). Computersimulationen: Modellierungen 2. Ordnung. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 36 (2):305-329.
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  26. Johannes Lenhard (2005). Axiomatics Without Foundations. On the Model-Theoretical Viewpoint In Modern Axiomatics. Philosophia Scientae 9:97-107.
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  27. Johannes Lenhard (2015). Einleitung. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 1-12.
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  28. Johannes Lenhard (2015). 5. Ein neuer Typ mathematischer Modellierung. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 111-122.
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  29. Johannes Lenhard (2015). 4. Epistemische Opazität. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 82-110.
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  30. Johannes Lenhard (2015). 1. Experiment und Artifizialität. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 15-37.
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  31. Johannes Lenhard (2015). Iteration Unleashed. Computer Technology in Science. In Sven Ove Hansson (ed.), The Role of Technology in Science: Philosophical Perspectives. Springer Netherlands
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  32. 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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  33. Johannes Lenhard (2015). Literatur. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 191-205.
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  34. Johannes Lenhard (2015). 6. Lösung Oder Imitation? In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 125-144.
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  35. Johannes Lenhard (2015). Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter.
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  36. Johannes Lenhard (2015). Namenindex. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 206-209.
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  37. Johannes Lenhard (2015). 3. Plastizität. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 59-81.
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  38. Johannes Lenhard (2015). Sachindex. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 210-212.
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  39. Johannes Lenhard (2015). Vorwort. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter
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  40. Johannes Lenhard (2015). 2. Visualisierung und Interaktion. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 38-58.
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  41. Johannes Lenhard (2015). 7. Validierung und Grenzen der Analyse. In Mit Allem Rechnen - Zur Philosophie der Computersimulation. De Gruyter 145-172.
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