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Fictions, representations, and reality

In Mauricio Suárez (ed.), Fictions in Science: Philosophical Essays on Modeling and Idealization. Routledge. pp. 4--110 (2009)

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  1. Fictional mechanism explanations: clarifying explanatory holes in engineering science.Kristian González Barman - 2022 - European Journal for Philosophy of Science 12 (2):1-19.
    This paper discusses a class of mechanistic explanations employed in engineering science where the activities and organization of nonstandard entities are cited as core factors responsible for failures. Given the use of mechanistic language by engineers and the manifestly mechanistic structure of these explanations, I consider several interpretations of these explanations within the new mechanical framework. I argue that these interpretations fail to solve several philosophical problems and propose an account of fictional mechanism explanations instead. According to this account, fictional (...)
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  • Modeling and Inferring in Science.Emiliano Ippoliti, Thomas Nickles & Fabio Sterpetti - 2016 - In Emiliano Ippoliti, Fabio Sterpetti & Thomas Nickles (eds.), Models and Inferences in Science. Cham: Springer. pp. 1-9.
    Science continually contributes new models and rethinks old ones. The way inferences are made is constantly being re-evaluated. The practice and achievements of science are both shaped by this process, so it is important to understand how models and inferences are made. But, despite the relevance of models and inference in scientific practice, these concepts still remain contro-versial in many respects. The attempt to understand the ways models and infer-ences are made basically opens two roads. The first one is to (...)
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  • Hypothetical Pattern Idealization and Explanatory Models.Yasha Rohwer & Collin Rice - 2013 - Philosophy of Science 80 (3):334-355.
    Highly idealized models, such as the Hawk-Dove game, are pervasive in biological theorizing. We argue that the process and motivation that leads to the introduction of various idealizations into these models is not adequately captured by Michael Weisberg’s taxonomy of three kinds of idealization. Consequently, a fourth kind of idealization is required, which we call hypothetical pattern idealization. This kind of idealization is used to construct models that aim to be explanatory but do not aim to be explanations.
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  • Scientific Fictionalism and the Problem of Inconsistency in Nietzsche.Justin Remhof - 2016 - Journal of Nietzsche Studies 47 (2):238-246.
    Fictionalism plays a significant role in philosophy today, with defenses spanning mathematics, morality, ordinary objects, truth, modality, and more.1 Fictionalism in the philosophy of science is also gaining attention, due in particular to the revival of Hans Vaihinger’s work from the early twentieth century and to heightened interest in idealization in scientific practice.2 Vaihinger maintains that there is a ubiquity of fictions in science and, among other things, argues that Nietzsche supports the position. Yet, while contemporary commentators have focused on (...)
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  • Are Model Organisms Theoretical Models?Veli-Pekka Parkkinen - 2017 - Disputatio 9 (47):471-498.
    This article compares the epistemic roles of theoretical models and model organisms in science, and specifically the role of non-human animal models in biomedicine. Much of the previous literature on this topic shares an assumption that animal models and theoretical models have a broadly similar epistemic role—that of indirect representation of a target through the study of a surrogate system. Recently, Levy and Currie have argued that model organism research and theoretical modelling differ in the justification of model-to-target inferences, such (...)
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  • Modelling and representing: An artefactual approach to model-based representation.Tarja Knuuttila - 2011 - Studies in History and Philosophy of Science Part A 42 (2):262-271.
    The recent discussion on scientific representation has focused on models and their relationship to the real world. It has been assumed that models give us knowledge because they represent their supposed real target systems. However, here agreement among philosophers of science has tended to end as they have presented widely different views on how representation should be understood. I will argue that the traditional representational approach is too limiting as regards the epistemic value of modelling given the focus on the (...)
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  • Causal isolation robustness analysis: the combinatorial strategy of circadian clock research.Tarja Knuuttila & Andrea Loettgers - 2011 - Biology and Philosophy 26 (5):773-791.
    This paper distinguishes between causal isolation robustness analysis and independent determination robustness analysis and suggests that the triangulation of the results of different epistemic means or activities serves different functions in them. Circadian clock research is presented as a case of causal isolation robustness analysis: in this field researchers made use of the notion of robustness to isolate the assumed mechanism behind the circadian rhythm. However, in contrast to the earlier philosophical case studies on causal isolation robustness analysis (Weisberg and (...)
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  • A non representationalist view of model explanation.Ashley Graham Kennedy - 2012 - Studies in History and Philosophy of Science Part A 43 (2):326-332.
  • Models, Unification, and Simulations: Margaret C. Morrison (1954–2021).Brigitte Falkenburg & Stephan Hartmann - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (1):25-33.
    The philosophy of science community mourns the loss of Margaret Catherine Morrison, who passed away on January 9, 2021, after a long battle with cancer. Margie, as she was known to all who knew her, was highly regarded for her influential contributions to the philosophy of science, particularly her studies of the role of models and simulations in the natural and social sciences. These contributions made her a world-leading philosopher of science, instrumental in shifting philosophers' attention from the structure of (...)
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  • Virtual Processes and Quantum Tunnelling as Fictions.Richard T. W. Arthur - 2012 - Science & Education 21 (10):1461-1473.
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  • Fictions, inference and realism.Mauricio Suárez - 2010 - In John Woods (ed.), Fictions and Models: New Essays. Munich: Philosophia Verlag.
    Abstract: It is often assumed without argument that fictionalism in the philosophy of science contradicts scientific realism. This paper is a critical analysis of this assumption. The kind of fictionalism that is at present discussed in philosophy of science is characterised, and distinguished from fictionalism in other areas. A distinction is then drawn between forms of fictional representation, and two competing accounts of fiction in science are discussed. I then outline explicitly what I take to be the argument for the (...)
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  • Practice-dependent political theory and the boundaries of political imagination.Greta Favara - unknown
    It is often claimed that in normative political theory political imagination should remain unaffected by real-world contingencies: our idea of how the world “ought to be” should be independent from how the world “actually is”. According to the practice-dependent thesis, instead, “[t]he content, scope, and justification of a conception of justice depends on the structure and form of the practices that the conception is intended to govern”. This methodological approach conceives the relationship between theory and practice as an interplay: normative (...)
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  • Modelos falsos en la ciencia: un valioso recurso para la comprensión de los fenómenos.Antonio Diéguez - 2017 - Metatheoria – Revista de Filosofía E Historia de la Ciencia 8:95--105.
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  • Explanatory standards in biology and physics textbooks: The case of polymers.Mads Goddiksen - unknown
    Learning to construct good scientific explanations is an important aspect of learning science. To this end it is important to also consider that the detailed standards for good explanations differ across the sciences. Practitioners face these differences, for instance, when interdisciplinary work is attempted. This paper reports on a comparative qualitative study of exemplar explanations on polymers from molecular biology and polymer physics aiming to map the differences in standards for good explanations between the two domains. The study gives detail (...)
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  • Modeling and experimenting: The combinatorial strategy in synthetic biology.Tarja Knuuttila & Andrea Loettgers - unknown
    In which respects do modeling and experimenting resemble or differ from each other? We explore this question through studying in detail the combinatorial strategy in synthetic biology whereby scientists triangulate experimentation on model organisms, mathematical modeling, and synthetic modeling. We argue that this combinatorial strategy is due to the characteristic constraints of the three epistemic activities. Moreover, our case study shows that in some cases materiality clearly matters, in fact it provides the very rationale of synthetic modeling. We will show (...)
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