Citations of work:

Alan C. Love & Marco J. Nathan (2015). The Idealization of Causation in Mechanistic Explanation.

6 found
Order:
Are we missing citations?

PhilPapers citations & references are currently in beta testing. We expect to add many more in the future.

Meanwhile, you can use our bibliography tool to import references for this or another work.

Or you can directly add citations for the above work:

Search for work by author name and title
Add directly by record ID

  1.  19
    Models Don’T Decompose That Way: A Holistic View of Idealized Models.Collin Rice - forthcoming - British Journal for the Philosophy of Science.
    Many accounts of scientific modelling assume that models can be decomposed into the contributions made by their accurate and inaccurate parts. These accounts then argue that the inaccurate parts of the model can be justified by distorting only what is irrelevant. In this paper, I argue that this decompositional strategy requires three assumptions that are not typically met by our best scientific models. In response, I propose an alternative view in which idealized models are characterized as holistically distorted representations that (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  2.  3
    Evidence for Personalised Medicine: Mechanisms, Correlation, and New Kinds of Black Box.Mary Jean Walker, Justin Bourke & Katrina Hutchison - forthcoming - Theoretical Medicine and Bioethics:1-19.
    Personalised medicine has been discussed as a medical paradigm shift that will improve health while reducing inefficiency and waste. At the same time, it raises new practical, regulatory, and ethical challenges. In this paper, we examine PM strategies epistemologically in order to develop capacities to address these challenges, focusing on a recently proposed strategy for developing patient-specific models from induced pluripotent stem cells so as to make individualised treatment predictions. We compare this strategy to two main PM strategies—stratified medicine and (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  3.  22
    ‘Models of’ and ‘Models For’: On the Relation Between Mechanistic Models and Experimental Strategies in Molecular Biology.Emanuele Ratti - 2018 - British Journal for the Philosophy of Science.
    Molecular biologists exploit information conveyed by mechanistic models for experimental purposes. In this article, I make sense of this aspect of biological practice by developing Keller’s idea of the distinction between ‘models of’ and ‘models for’. ‘Models of (phenomena)’ should be understood as models representing phenomena and are valuable if they explain phenomena. ‘Models for (manipulating phenomena)’ are new types of material manipulations and are important not because of their explanatory force, but because of the interventionist strategies they afford. This (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark  
  4.  2
    Turing Patterns and Biological Explanation.Maria Serban - 2017 - Disputatio 9 (47):529-552.
    Turing patterns are a class of minimal mathematical models that have been used to discover and conceptualize certain abstract features of early biological development. This paper examines a range of these minimal models in order to articulate and elaborate a philosophical analysis of their epistemic uses. It is argued that minimal mathematical models aid in structuring the epistemic practices of biology by providing precise descriptions of the quantitative relations between various features of the complex systems, generating novel predictions that can (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  5.  28
    Design Explanation and Idealization.Dingmar van Eck & Julie Mennes - 2016 - Erkenntnis 81 (5):1051-1071.
    In this paper we assess the explanatory role of idealizations in ‘design explanations’, a type of functional explanation used in biology. In design explanations, idealizations highlight which factors make a difference to phenomena to be explained: hypothetical, idealized, organisms are invoked to make salient which traits of extant organisms make a difference to organismal fitness. This result negates the view that idealizations serve only pragmatic benefits, and complements the view that idealizations highlight factors that do not make a difference. This (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  6.  19
    Collaborative Explanation, Explanatory Roles, and Scientific Explaining in Practice.Alan C. Love - 2015 - Studies in History and Philosophy of Science Part A 52:88-94.
    Scientific explanation is a perennial topic in philosophy of science, but the literature has fragmented into specialized discussions in different scientific disciplines. An increasing attention to scientific practice by philosophers is (in part) responsible for this fragmentation and has put pressure on criteria of adequacy for philosophical accounts of explanation, usually demanding some form of pluralism. This commentary examines the arguments offered by Fagan and Woody with respect to explanation and understanding in scientific practice. I begin by scrutinizing Fagan's concept (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation