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Tracing the Development of Models in the Philosophy of Science

In L. Magnani, N. J. Nersessian & P. Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum. pp. 23--40 (1999)

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  1. Trueing.Holly Andersen - 2023 - In H. K. Andersen & Sandra D. Mitchell (eds.), The Pragmatist Challenge: Pragmatist Metaphysics for Philosophy of Science. Oxford, UK: Oxford University Press.
    Even in areas of philosophy of science that don’t involve formal treatments of truth, one’s background view of truth still centrally shapes views on other issues. I offer an informal way to think about truth as trueing, like trueing a bicycle wheel. This holist approach to truth provides a way to discuss knowledge products like models in terms of how well-trued they are to their target. Trueing emphasizes: the process by which models are brought into true; how the idealizations in (...)
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  • “Once Upon a Time” Philosophy of Science: STS, Science Policy and the Semantic View of Scientific Theories. [REVIEW]Enrico Viola - 2009 - Axiomathes 19 (4):465-480.
    Is a policy-friendly philosophy of science possible? In order to respond this question, I consider a particular instance of contemporary philosophy of science, the semantic view of scientific theories, by placing it in the broader methodological landscape of the integration of philosophy of science into STS (Science and Technology Studies) as a component of the overall contribution of the latter to science policy. In that context, I defend a multi-disciplinary methodological integration of the special discipline composing STS against a reductionist (...)
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  • The missing self in scientific psychiatry.Şerife Tekin - 2019 - Synthese 196 (6):2197-2215.
    Various traditions in mental health care, such as phenomenological, and existential and cognitive-behavioral psychotherapy, implicitly or explicitly acknowledge that a disruption of the self, or the person, or the agent is among the common denominators of different mental disorders. They often emphasize the importance of understanding patients as reasonsresponsive, in their full mental health relevant complexity, if their mental disorder is to be treated successfully. The centrality of the concept of the self is not mirrored in the mainstream scientific approaches (...)
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  • Knowledge Building Expertise: Nanomodellers’ Education as an Example.Suvi Tala - 2013 - Science & Education 22 (6):1323-1346.
  • Analogy counterarguments and the acceptability of analogical hypotheses.Cameron Shelley - 2002 - British Journal for the Philosophy of Science 53 (4):477-496.
    The logical empiricists held that an analogical hypothesis does not gain any acceptability from the analogy on which it is founded. On this view, the acceptability of a hypothesis cannot be discounted by criticizing the foundational analogy. Yet scientists commonly appear to level exactly this sort of criticism. If scientists are able to discount the acceptability of analogical hypotheses in this way, then the logical empiricist view is mistaken. I analyze four forms of analogy counterargument, disanalogy, misanalogy, counteranalogy, and false (...)
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  • Model, theory, and evidence in the discovery of the DNA structure.Samuel Schindler - 2008 - British Journal for the Philosophy of Science 59 (4):619-658.
    In this paper, I discuss the discovery of the DNA structure by Francis Crick and James Watson, which has provoked a large historical literature but has yet not found entry into philosophical debates. I want to redress this imbalance. In contrast to the available historical literature, a strong emphasis will be placed upon analysing the roles played by theory, model, and evidence and the relationship between them. In particular, I am going to discuss not only Crick and Watson's well-known model (...)
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  • Simplified models: a different perspective on models as mediators.C. D. McCoy & Michela Massimi - 2018 - European Journal for Philosophy of Science 8 (1):99-123.
    We introduce a novel point of view on the “models as mediators” framework in order to emphasize certain important epistemological questions about models in science which have so far been little investigated. To illustrate how this perspective can help answer these kinds of questions, we explore the use of simplified models in high energy physics research beyond the Standard Model. We show in detail how the construction of simplified models is grounded in the need to mitigate pressing epistemic problems concerning (...)
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  • How do models give us knowledge? The case of Carnot’s ideal heat engine.Tarja Knuuttila & Mieke Boon - 2011 - European Journal for Philosophy of Science 1 (3):309-334.
    Our concern is in explaining how and why models give us useful knowledge. We argue that if we are to understand how models function in the actual scientific practice the representational approach to models proves either misleading or too minimal. We propose turning from the representational approach to the artefactual, which implies also a new unit of analysis: the activity of modelling. Modelling, we suggest, could be approached as a specific practice in which concrete artefacts, i.e., models, are constructed with (...)
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  • Philosophy of chemistry in university chemical education: The case of models and modelling. [REVIEW]Rosária S. Justi & John K. Gilbert - 2002 - Foundations of Chemistry 4 (3):213-240.
    If chemistry is to be taught successfully, teachers must have a good subject matter knowledge (SK) of the ideas with which they are dealing, the nature of this falling within the orbit of philosophy of chemistry. They must also have a good pedagogic content knowledge (PCK), the ability to communicate SK to students, the nature of this falling within the philosophy and psychology of chemical education. Taking the case of models and modelling, important themes in the philosophy of chemistry, an (...)
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  • Metaphors as models: Towards a typology of metaphor in ancient science.Marcel Humar - 2021 - History and Philosophy of the Life Sciences 43 (3):1-26.
    Metaphors play a crucial role in the understanding of science. Since antiquity, metaphors have been used in technical texts to describe structures unknown or unnamed; besides establishing a terminology of science, metaphors are also important for the expression of concepts. However, a concise terminology to classify metaphors in the language of science has not been established yet. But in the context of studying the history of a science and its concepts, a precise typology of metaphors can be helpful. Metaphors have (...)
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  • The Cybernetic “General Model Theory”: Unifying Science or Epistemic Change?Barbara E. Hof - 2018 - Perspectives on Science 26 (1):76-96.
    "The term 'model' has become fashionable". What Mary Hesse characterized in the mid-1960s as a trend in logic, mathematics, and the natural sciences, applies today in general for a broad spectrum of disciplines. Today models appear to be of "extraordinary importance" compared to the first half of the twentieth century, when models were neither mentioned nor contemplated, either generally in scientific publications or specifically in the philosophy of science. It is even assumed that models are "the key to science" and (...)
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  • Scientists' thoughts on scientific models.Daniela M. Bailer-Jones - 2002 - Perspectives on Science 10 (3):275-301.
    : This paper contains the analysis of nine interviews with UK scientists on the topic of scientific models. Scientific models are an important, very controversially discussed topic in philosophy of science. A reasonable expectation is that philosophical conceptions of models ought to be in agreement with scientific practice. Questioning practicing scientists on their use of and views on models provides material against which philosophical positions can be measured.
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  • Explanation and Understanding through Scientific Models.Richard David-Rus - 2009 - Dissertation, University Munich
  • Representing Reality: The Ontology of Scientific Models and Their Representational Function.Gabriele Contessa - 2007 - Dissertation, University of London
    Today most philosophers of science believe that models play a central role in science and that one of the main functions of scientific models is to represent systems in the world. Despite much talk of models and representation, however, it is not yet clear what representation in this context amounts to nor what conditions a certain model needs to meet in order to be a representation of a certain system. In this thesis, I address these two questions. First, I will (...)
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  • The use of metaphors in scientific development: A logical approach.Isabel D'Hanis - 2001 - Logique Et Analyse 44:215.
     
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