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  1. Epistemic Artifacts and the Modal Dimension of Modeling.Tarja Knuuttila - 2021 - European Journal for Philosophy of Science 11 (3):1-18.
    The epistemic value of models has traditionally been approached from a representational perspective. This paper argues that the artifactual approach evades the problem of accounting for representation and better accommodates the modal dimension of modeling. From an artifactual perspective, models are viewed as erotetic vehicles constrained by their construction and available representational tools. The modal dimension of modeling is approached through two case studies. The first portrays mathematical modeling in economics, while the other discusses the modeling practice of synthetic biology, (...)
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  • Representation-supporting model elements.Sim-Hui Tee - 2020 - Biology and Philosophy 35 (1):1-24.
    It is assumed that scientific models contain no superfluous model elements in scientific representation. A representational model is constructed with all the model elements serving the representational purpose. The received view has it that there are no redundant model elements which are non-representational. Contrary to this received view, I argue that there exist some non-representational model elements which are essential in scientific representation. I call them representation-supporting model elements in virtue of the fact that they play the role to support (...)
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  • Mechanisms and Generative Material Models.Sim-Hui Tee - 2019 - Synthese 198 (7):6139-6157.
    Mechanisms consist of component parts and processes organized in a specific way to produce changes that may give rise to one or more phenomena. I aim to examine the generative mechanism of generative material models in the production of new material models. A generative material model in biology is a living material model that is capable of generating new material models. I contend that generative mechanisms of a generative material model are not to be conflated with biological mechanisms: the former (...)
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  • Abstraction as an Autonomous Process in Scientific Modeling.Sim-Hui Tee - 2020 - Philosophia 48 (2):789-801.
    ion is one of the important processes in scientific modeling. It has always been implied that abstraction is an agent-centric activity that involves the cognitive processes of scientists in model building. I contend that there is an autonomous aspect of abstraction in many modeling activities. I argue that the autonomous process of abstraction is continuous with the agent-centric abstraction but capable of evolving independently from the modeler’s abstraction activity.
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  • Mapping an Expanding Territory: Computer Simulations in Evolutionary Biology.Philippe Huneman - 2014 - History and Philosophy of the Life Sciences 36 (1):60-89.
    The pervasive use of computer simulations in the sciences brings novel epistemological issues discussed in the philosophy of science literature since about a decade. Evolutionary biology strongly relies on such simulations, and in relation to it there exists a research program (Artificial Life) that mainly studies simulations themselves. This paper addresses the specificity of computer simulations in evolutionary biology, in the context (described in Sect. 1) of a set of questions about their scope as explanations, the nature of validation processes (...)
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  • Scientific Inertia in Animal-Based Research in Biomedicine.Simon Lohse - 2021 - Studies in History and Philosophy of Science Part A 89:41-51.
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  • Constructing Reality with Models.Tee Sim-Hui - 2019 - Synthese 196 (11):4605-4622.
    Scientific models are used to predict and understand the target phenomena in the reality. The kind of epistemic relationship between the model and the reality is always regarded by most of the philosophers as a representational one. I argue that, complementary to this representational role, some of the scientific models have a constructive role to play in altering and reconstructing the reality in a physical way. I hold that the idealized model assumptions and elements bestow the constructive force of a (...)
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  • A Credible-World Account of Biological Models.Sim-Hui Tee - 2018 - Axiomathes 28 (3):309-324.
    In a broad brush, biological models are often constructed in two general types: as a concrete model; as an abstract model. A concrete model is a material model such as model organisms, while an abstract model is a mathematical or computational model consists of equations or algorithms. Though there are types of biological models that cannot be strictly categorized as either concrete or abstract, they are falling somewhere in between this spectrum. In view of the fact that biological phenomena are (...)
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  • Beyond Standardization: Improving External Validity and Reproducibility in Experimental Evolution.Eric Desjardins, Joachim Kurtz, Nina Kranke, Ana Lindeza & S. Helene Richter - 2021 - BioScience 71 (5):543–552.
    Discussions of reproducibility are casting doubts on the credibility of experimental outcomes in the life sciences. Although experimental evolution is not typically included in these discussions, this field is also subject to low reproducibility, partly because of the inherent contingencies affecting the evolutionary process. A received view in experimental studies more generally is that standardization (i.e., rigorous homogenization of experimental conditions) is a solution to some issues of significance and internal validity. However, this solution hides several difficulties, including a reduction (...)
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  • Integrating Philosophy of Science Into Research on Ethical, Legal and Social Issues in the Life Sciences.Simon Lohse, Martin S. Wasmer & Thomas A. C. Reydon - 2020 - Perspectives on Science 28 (6):700-736.
    This paper argues that research on normative issues in the life sciences will benefit from a tighter integration of philosophy of science. We examine research on ethical, legal and social issues in the life sciences and discuss three illustrative examples of normative issues that arise in different areas of the life sciences. These examples show that important normative questions are highly dependent on epistemic issues which so far have not been addressed sufficiently in ELSI, RRI and related areas of research. (...)
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  • Microbes, Mathematics, and Models.Maureen A. O'Malley & Emily C. Parke - 2018 - Studies in History and Philosophy of Science Part A 72:1-10.
    Microbial model systems have a long history of fruitful use in fields that include evolution and ecology. In order to develop further insight into modelling practice, we examine how the competitive exclusion and coexistence of competing species have been modelled mathematically and materially over the course of a long research history. In particular, we investigate how microbial models of these dynamics interact with mathematical or computational models of the same phenomena. Our cases illuminate the ways in which microbial systems and (...)
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