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Profile: Meinard Kuhlmann (Universität Bielefeld)
  1. Meinard Kuhlmann (2012). By Parallel Reasoning. Review of Metaphysics 65 (2):409-410.
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  2. Meinard Kuhlmann (2012). Erlebte und physikalische Zeit – zum 60. Geburtstag von Manfred Stöckler. Philosophia Naturalis 49 (2):171-174.
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  3. Meinard Kuhlmann, Quantum Field Theory. The Stanford Encyclopedia of Philosophy.
    Quantum Field Theory (QFT) is the mathematical and conceptual framework for contemporary elementary particle physics. In a rather informal sense QFT is the extension of quantum mechanics (QM), dealing with particles, over to fields, i.e. systems with an infinite number of degrees of freedom. (See the entry on quantum mechanics.) In the last few years QFT has become a more widely discussed topic in philosophy of science, with questions ranging from methodology and semantics to ontology. QFT taken seriously in its (...)
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  4. Meinard Kuhlmann & Wolfgang Pietsch (2012). What Is and Why Do We Need Philosophy of Physics? Journal for General Philosophy of Science 43 (2):209-214.
    Philosophy of physics is a small but thriving research field situated at the intersection between the natural sciences and the humanities. However, what exactly distinguishes philosophy of physics from physics is rarely made explicit in much depth. We provide a detailed analysis in the form of eleven theses, delineating both the nature of the questions asked in philosophy of physics and the methodology with which they are addressed.
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  5. Meinard Kuhlmann (2011). Mechanisms in Dynamically Complex Systems. In Phyllis McKay Illari & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press.
    In recent debates mechanisms are often discussed in the context of ‘complex systems’ which are understood as having a complicated compositional structure. I want to draw the attention to another, radically different kind of complex system, in fact one that many scientists regard as the only genuine kind of complex system. Instead of being compositionally complex these systems rather exhibit highly non-trivial dynamical patterns on the basis of structurally simple arrangements of large numbers of non-linearly interacting constituents. The characteristic dynamical (...)
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  6. Meinard Kuhlmann (2011). Review of “By Parallel Reasoning: The Construction and Evaluation of Analogical Arguments” by Paul Bartha. Review of Metaphysics 64.
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  7. Meinard Kuhlmann (2011). Review of “From Current Algebra to Quantum Chromodynamics: A Case for Structural Realism” by T. Y. Cao. Notre Dame Philosophical Studies 8:21.
  8. Meinard Kuhlmann (2010). The Ultimate Constituents of the Material World - In Search of an Ontology for Fundamental Physics. ontos.
    Eventually, Kuhlmann proposes a dispositional trope ontology, according to which particularized properties and not things are the most basic entities.
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  9. Meinard Kuhlmann (2010). Why Conceptual Rigour Matters to Philosophy: On the Ontological Significance of Algebraic Quantum Field Theory. [REVIEW] Foundations of Physics 40 (9):1625-1637.
    I argue that algebraic quantum field theory (AQFT) permits an undisturbed view of the right ontology for fundamental physics, whereas standard (or Lagrangian) QFT offers different mutually incompatible ontologies.My claim does not depend on the mathematical inconsistency of standard QFT but on the fact that AQFT has the same concerns as ontology, namely categorical parsimony and a clearly structured hierarchy of entities.
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  10. Meinard Kuhlmann, How Do Microscopic Models of Financial Markets Explain? Models and Simulations, Proceedings.
    Financial theory is in trouble. Market crashes and high volatility are only too familiar to everyone, although the standard theories predict that they hardly ever occur. According to the well-known and (partly due to its simplicity) still widely used random-walk model, the probabilities for price changes of, say, stocks should result in a Gaussian distribution. However, experience tells us that large changes occur far more often than ‘allowed’ by a Gaussian distribution. New models are needed which lead to realistic probability (...)
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