Switch to: References

Add citations

You must login to add citations.
  1. Models, robustness, and non-causal explanation: a foray into cognitive science and biology.Elizabeth Irvine - 2015 - Synthese 192 (12):3943-3959.
    This paper is aimed at identifying how a model’s explanatory power is constructed and identified, particularly in the practice of template-based modeling (Humphreys, Philos Sci 69:1–11, 2002; Extending ourselves: computational science, empiricism, and scientific method, 2004), and what kinds of explanations models constructed in this way can provide. In particular, this paper offers an account of non-causal structural explanation that forms an alternative to causal–mechanical accounts of model explanation that are currently popular in philosophy of biology and cognitive science. Clearly, (...)
    Download  
     
    Export citation  
     
    Bookmark   7 citations  
  • Economic Methodology in the Twenty-First Century (So Far): Some Post-Reflection Reflections.Douglas Wade Hands - 2020 - Revue de Philosophie Économique 20 (2):221-252.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Economic Methodology in the Twenty-First Century (So Far): Some Post-Reflection Reflections.Douglas Wade Hands - 2020 - Revue de Philosophie Économique 20 (2):221-252.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Mirrors without warnings.Roman Frigg & James Nguyen - 2019 - Synthese 198 (3):2427-2447.
    Veritism, the position that truth is necessary for epistemic acceptability, seems to be in tension with the observation that much of our best science is not, strictly speaking, true when interpreted literally. This generates a paradox: truth is necessary for epistemic acceptability; the claims of science have to be taken literally; much of what science produces is not literally true and yet it is acceptable. We frame Elgin’s project in True Enough as being motivated by, and offering a particular resolution (...)
    Download  
     
    Export citation  
     
    Bookmark   14 citations  
  • An Inferential Account of Model Explanation.Wei Fang - 2019 - Philosophia 47 (1):99-116.
    This essay develops an inferential account of model explanation, based on Mauricio Suárez’s inferential conception of scientific representation and Alisa Bokulich’s counterfactual account of model explanation. It is suggested that the fact that a scientific model can explain is essentially linked to how a modeler uses an established model to make various inferences about the target system on the basis of results derived from the model. The inference practice is understood as a two-step activity, with the first step involving making (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • Running Mice and Successful Theories: The Limitations of a Classical Analogy.Matthias Egg & August Hämmerli - forthcoming - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie:1-18.
    Bas van Fraassen’s Darwinian explanation for the success of science has sparked four decades of discussion, with scientific realists and antirealists alike using biologically inspired reasoning to support their points of view. Based on critical engagement with van Fraassen’s proposal itself and later contributions by Stathis Psillos and K. Brad Wray, we claim that central arguments on both sides of this controversy suffer from an insufficient understanding of Darwinism and its underlying biological concepts. Adding the necessary biological background turns out (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Idealization and Structural Explanation in Physics.Martin King - manuscript
    The focus in the literature on scientific explanation has shifted in recent years towards modelbased approaches. The idea that there are simple and true laws of nature has met with objections from philosophers such as Nancy Cartwright (1983) and Paul Teller (2001), and this has made a strictly Hempelian D-N style explanation largely irrelevant to the explanatory practices of science (Hempel & Oppenheim, 1948). Much of science does not involve subsuming particular events under laws of nature. It is increasingly recognized (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Eschewing Entities: Outlining a Biology Based Form of Structural Realism.Steven French - 2013 - In Vassilios Karakostas & Dennis Dieks (eds.), Epsa11 Perspectives and Foundational Problems in Philosophy of Science. Springer. pp. 371--381.
    Download  
     
    Export citation  
     
    Bookmark  
  • Mathematics and the world: explanation and representation.John-Hamish Heron - 2017 - Dissertation, King’s College London
    Download  
     
    Export citation  
     
    Bookmark  
  • Robustness, evidence, and uncertainty: an exploration of policy applications of robustness analysis.Nicolas Wüthrich - unknown
    Policy-makers face an uncertain world. One way of getting a handle on decision-making in such an environment is to rely on evidence. Despite the recent increase in post-fact figures in politics, evidence-based policymaking takes centre stage in policy-setting institutions. Often, however, policy-makers face large volumes of evidence from different sources. Robustness analysis can, prima facie, handle this evidential diversity. Roughly, a hypothesis is supported by robust evidence if the different evidential sources are in agreement. In this thesis, I strengthen the (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Explaining simulated phenomena. A defense of the epistemic power of computer simulations.Juan M. Durán - 2013 - Dissertation, University of Stuttgart
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • Decoherencia y relaciones interteóricas en el realismo cuántico.Nahuel Sznajderhaus - 2019 - Metatheoria – Revista de Filosofía E Historia de la Ciencia 9:95--110.
    Download  
     
    Export citation  
     
    Bookmark