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  1. The Structure of Scientific Theories.Rasmus Grønfeldt Winther - 2015 - Stanford Encyclopedia of Philosophy.
    Scientific inquiry has led to immense explanatory and technological successes, partly as a result of the pervasiveness of scientific theories. Relativity theory, evolutionary theory, and plate tectonics were, and continue to be, wildly successful families of theories within physics, biology, and geology. Other powerful theory clusters inhabit comparatively recent disciplines such as cognitive science, climate science, molecular biology, microeconomics, and Geographic Information Science (GIS). Effective scientific theories magnify understanding, help supply legitimate explanations, and assist in formulating predictions. Moving from their (...)
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  • What Elements of Successful Scientific Theories Are the Correct Targets for “Selective” Scientific Realism?Dean Peters - 2014 - Philosophy of Science 81 (3):377-397.
    Selective scientific realists disagree on which theoretical posits should be regarded as essential to the empirical success of a scientific theory. A satisfactory account of essentialness will show that the (approximate) truth of the selected posits adequately explains the success of the theory. Therefore, (a) the essential elements must be discernible prospectively; (b) there cannot be a priori criteria regarding which type of posit is essential; and (c) the overall success of a theory, or ‘cluster’ of propositions, not only individual (...)
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  • Modelle.Stephan Hartmann & Daniela Bailer-Jones - 2010 - In Hans Jörg Sandkühler & Others (eds.), Enzyklopädie Philosophie. Meiner Verlag. pp. 1627-1632.
    Der Begriff ‘Modell’ leitet sich vom Lateinischen ‘modulus’ (das Maß) ab, im Italienischen existiert seit dem 16. Jh. ‘modello’ und R. Descartes verwendet im 17. Jh. ‘modèlle’. Während der Begriff in Architektur und Kunst schon seit der Renaissance gängig ist, wird er in den Naturwissenschaften erst im 19. Jh. verwendet.1 Dort greifen wissenschaftliche Modelle die für eine gegebene Problemstellung als wesentlich erachteten Charakteristika (Eigenschaften, Beziehungen, etc.) eines Untersuchungsgegenstandes heraus und machen diesen so einem Verständnis bzw. einer weiterführenden Untersuchung zugänglich. Es (...)
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  • Rehabilitating theory: refusal of the 'bottom-up' construction of scientific phenomena.Samuel Schindler - 2007 - Studies in History and Philosophy of Science Part A 38 (1):160-184.
    In this paper I inquire into Bogen and Woodward’s data/phenomena distinction, which in a similar way to Cartwright’s construal of the model of superconductivity —although in a different domain—argues for a ‘bottom-up’ construction of phenomena from data without the involvement of theory. I criticise Bogen and Woodward’s account by analysing their melting point of lead example in depth, which is usually cited in the literature to illustrate the data/phenomenon distinction. Yet, the main focus of this paper lies on Matthias Kaiser’s (...)
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  • (1 other version)The value(s) of a Story: Theories, Models and Cognitive Values.Isabelle Peschard - 2007 - Principia 11 (2):151-169.
    This paper aims 1) to introduce the notion of theoretical story as a resource and source of constraint for the construction and assessment of models of phenomena; 2) to show the relevance of this notion for a better understanding of the role and nature of values in scientific activity. The reflection on the role of values and value judgments in scientific activity should be attentive, I will argue, to the distinction between models and the theoretical story that guides and constrains (...)
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  • Making sense of modeling: beyond representation. [REVIEW]Isabelle Peschard - 2011 - European Journal for Philosophy of Science 1 (3):335-352.
    Making sense of modeling: beyond representation Content Type Journal Article Category Original paper in Philosophy of Science Pages 335-352 DOI 10.1007/s13194-011-0032-8 Authors Isabelle Peschard, Philosophy Department, San Francisco State University, 1600 Holloway Ave, San Francisco, CA 94132, USA Journal European Journal for Philosophy of Science Online ISSN 1879-4920 Print ISSN 1879-4912 Journal Volume Volume 1 Journal Issue Volume 1, Number 3.
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  • Reinflating the semantic approach.Steven French & James Ladyman - 1999 - International Studies in the Philosophy of Science 13 (2):103 – 121.
    The semantic, or model-theoretic, approach to theories has recently come under criticism on two fronts: (i) it is claimed that it cannot account for the wide diversity of models employed in scientific practice—a claim which has led some to propose a “deflationary” account of models; (ii) it is further contended that the sense of “model” used by the approach differs from that given in model theory. Our aim in the present work is to articulate a possible response to these claims, (...)
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  • (1 other version)To Save the Semantic View: An Argument for Returning to Suppes' Interpretation.Thomas Cunningham - 2008
    Recent work on the semantic view of scientific theories is highly critical of the position. This paper identifies two common criticisms of the view, describes two popular alternatives for responding to them, and argues those responses do not suffice. Subsequently, it argues that retuning to Patrick Suppes’ interpretation of the position provides the conceptual resources for rehabilitating the semantic view.
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  • The autonomy of models and explanation: anomalous molecular rearrangements in early twentieth-century physical organic chemistry.Grant Fisher - 2006 - Studies in History and Philosophy of Science Part A 37 (4):562-584.
    During the 1930s and 1940s, American physical organic chemists employed electronic theories of reaction mechanisms to construct models offering explanations of organic reactions. But two molecular rearrangements presented enormous challenges to model construction. The Claisen and Cope rearrangements were predominantly inaccessible to experimental investigation and they confounded explanation in theoretical terms. Drawing on the idea that models can be autonomous agents in the production of scientific knowledge, I argue that one group of models in particular were functionally autonomous from the (...)
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  • What SPECIES can teach us about THEORY.P. D. Magnus - manuscript
    This paper argues against the common, often implicit view that theories are some specific kind of thing. Instead, I argue for theory concept pluralism: There are multiple distinct theory concepts which we legitimately use in different domains and for different purposes, and we should not expect this to change. The argument goes by analogy with species concept pluralism, a familiar position in philosophy of biology. I conclude by considering some consequences for philosophy of science if theory concept pluralism is correct.
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  • Scientific Structuralism: Presentation and Representation.Katherine Brading & Elaine Landry - 2006 - Philosophy of Science 73 (5):571-581.
    This paper explores varieties of scientific structuralism. Central to our investigation is the notion of `shared structure'. We begin with a description of mathematical structuralism and use this to point out analogies and disanalogies with scientific structuralism. Our particular focus is the semantic structuralist's attempt to use the notion of shared structure to account for the theory-world connection, this use being crucially important to both the contemporary structural empiricist and realist. We show why minimal scientific structuralism is, at the very (...)
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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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  • Understanding with Toy Surrogate Models in Machine Learning.Andrés Páez - 2024 - Minds and Machines 34 (4):45.
    In the natural and social sciences, it is common to use toy models—extremely simple and highly idealized representations—to understand complex phenomena. Some of the simple surrogate models used to understand opaque machine learning (ML) models, such as rule lists and sparse decision trees, bear some resemblance to scientific toy models. They allow non-experts to understand how an opaque ML model works globally via a much simpler model that highlights the most relevant features of the input space and their effect on (...)
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  • A New Look into Peter Townsend’s Holy Grail: The Theory and Measure of Poverty as Relative Deprivation.Samuel Maia - 2024 - Dissertation, Federal University of Minas Gerais
    The development of the science of poverty has largely been driven by the need to define more precisely what poverty is, as well as to provide theoretical and empirical criteria for identifying those who suffer from it. This thesis focuses on a notable response to these and related questions: the conception and measure of poverty by the British sociologist Peter Townsend. Townsend defines poverty as relative deprivation caused by lack of resources. This conception, along with his corresponding cut-off measure, constitutes (...)
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  • Models, Representation and Truth: On Giere’s Perspectival Realism.José Luis Rolleri - 2022 - Open Journal of Philosophy 12 (3):474-488.
    Could relativist theses about scientific theories be coherent with realist theses about the relationship between such theories and the physical world? This is the central issue of this paper that we approach, mainly, on Giere’s perspectival realism. We consider that his epistemological relativist theses are plausible and sustainable, but his realist thesis about the representational role that plays the theoretical models with respect to real systems as well as his thesis about true hypotheses are not. After trying to show that, (...)
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  • The tragedy of the canon; or, path dependence in the history and philosophy of science.Agnes Bolinska & Joseph D. Martin - 2021 - Studies in History and Philosophy of Science Part A 89 (C):63-73.
    We have previously argued that historical cases must be rendered canonical before they can plausibly serve as evidence for philosophical claims, where canonicity is established through a process of negotiation among historians and philosophers of science (Bolinska and Martin, 2020). Here, we extend this proposal by exploring how that negotiation might take place in practice. The working stock of historical examples that philosophers tend to employ has long been established informally, and, as a result, somewhat haphazardly. The composition of the (...)
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  • A pragmatic approach to the ontology of models.Antonis Antoniou - 2021 - Synthese (3-4):1-20.
    What are scientific models? Philosophers of science have been trying to answer this question during the last three decades by putting forward a number of different proposals. Some say that models are best understood as abstract Platonic objects or fictional entities akin to Sherlock Holmes, while others focus on their mathematical nature and see them as set theoretical structures. Although each account has its own strengths in offering various insights on the nature of models, several objections have been raised against (...)
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  • How uncertainty can save measurement from circularity and holism.Sophie Ritson & Kent Staley - 2021 - Studies in History and Philosophy of Science Part A 85:155-165.
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  • Laws, Models, and Theories in Biology: A Unifying Interpretation.Pablo Lorenzano - 2020 - In Lorenzo Baravalle & Luciana Zaterka (eds.), Life and Evolution, History, Philosophy and Theory of the Life Sciences. Springer. pp. 163-207.
    Three metascientific concepts that have been object of philosophical analysis are the concepts oflaw, model and theory. The aim ofthis article is to present the explication of these concepts, and of their relationships, made within the framework of Sneedean or Metatheoretical Structuralism (Balzer et al. 1987), and of their application to a case from the realm of biology: Population Dynamics. The analysis carried out will make it possible to support, contrary to what some philosophers of science in general and of (...)
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  • Logic, Mathematics, Philosophy, Vintage Enthusiasms: Essays in Honour of John L. Bell.David DeVidi, Michael Hallett & Peter Clark (eds.) - 2011 - Dordrecht, Netherland: Springer.
    The volume includes twenty-five research papers presented as gifts to John L. Bell to celebrate his 60th birthday by colleagues, former students, friends and admirers. Like Bell’s own work, the contributions cross boundaries into several inter-related fields. The contributions are new work by highly respected figures, several of whom are among the key figures in their fields. Some examples: in foundations of maths and logic ; analytical philosophy, philosophy of science, philosophy of mathematics and decision theory and foundations of economics. (...)
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  • Causal Concepts Guiding Model Specification in Systems Biology.Dana Matthiessen - 2017 - Disputatio 9 (47):499-527.
    In this paper I analyze the process by which modelers in systems biology arrive at an adequate representation of the biological structures thought to underlie data gathered from high-throughput experiments. Contrary to views that causal claims and explanations are rare in systems biology, I argue that in many studies of gene regulatory networks modelers aim at a representation of causal structure. In addressing modeling challenges, they draw on assumptions informed by theory and pragmatic considerations in a manner that is guided (...)
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  • Modelling with words: Narrative and natural selection.Dominic K. Dimech - 2017 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 62:20-24.
    I argue that verbal models should be included in a philosophical account of the scientific practice of modelling. Weisberg (2013) has directly opposed this thesis on the grounds that verbal structures, if they are used in science, only merely describe models. I look at examples from Darwin's On the Origin of Species (1859) of verbally constructed narratives that I claim model the general phenomenon of evolution by natural selection. In each of the cases I look at, a particular scenario is (...)
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  • Understanding the Progress of Science.C. D. McCoy - 2022 - In Insa Lawler, Kareem Khalifa & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences. New York, NY: Routledge. pp. 353-369.
    Philosophical debates on how to account for the progress of science have traditionally divided along the realism-anti-realism axis. Relatively recent developments in epistemology, however, have opened up a new knowledge-understanding axis to the debate. This chapter presents a novel understanding-based account of scientific progress that takes its motivation from problem-solving practices in science. Problem-solving is characterized as a means of measuring degree of understanding, which is argued to be the principal epistemic (or cognitive) aim of science, over and against knowledge. (...)
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  • Exemplarising the Origin of Genetics: A Path to Genetics (From Mendel to Bateson).Yafeng Shan - 2016 - Dissertation, University College London
    This thesis aims to propose and defend a new way of analysing and understanding the origin of genetics (from Mendel to Bateson). Traditionally philosophers used to analyse the history of genetics in terms of theories. However, I will argue that this theory-based approach is highly problematic. In Chapter 1, I shall critically review the theory-driven approach to analysisng the history of genetics and diagnose its problems. In Chapter 2, inspired by Kuhn’s concept “exemplar”, I shall make a new interpretation of (...)
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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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  • What is structural realism?James Ladyman - 1998 - Studies in History and Philosophy of Science Part A 29 (3):409-424.
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  • Interweaving categories: Styles, paradigms, and models.Rasmus Grønfeldt Winther - 2012 - Studies in History and Philosophy of Science Part A 43 (4):628-639.
    Analytical categories of scientific cultures have typically been used both exclusively and universally. For instance, when styles of scientific research are employed in attempts to understand and narrate science, styles alone are usually employed. This article is a thought experiment in interweaving categories. What would happen if rather than employ a single category, we instead investigated several categories simultaneously? What would we learn about the practices and theories, the agents and materials, and the political-technological impact of science if we analyzed (...)
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  • Keeping quiet on the ontology of models.Steven French - 2010 - Synthese 172 (2):231-249.
    Stein once urged us not to confuse the means of representation with that which is being represented. Yet that is precisely what philosophers of science appear to have done at the meta-level when it comes to representing the practice of science. Proponents of the so-called ‘syntactic’ view identify theories as logically closed sets of sentences or propositions and models as idealised interpretations, or ‘theoruncula, as Braithwaite called them. Adherents of the ‘semantic’ approach, on the other hand, are typically characterised as (...)
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  • Missing systems and the face value practice.Martin Thomson-Jones - 2010 - Synthese 172 (2):283-299.
    Call a bit of scientific discourse a description of a missing system when (i) it has the surface appearance of an accurate description of an actual, concrete system (or kind of system) from the domain of inquiry, but (ii) there are no actual, concrete systems in the world around us fitting the description it contains, and (iii) that fact is recognised from the outset by competent practitioners of the scientific discipline in question. Scientific textbooks, classroom lectures, and journal articles abound (...)
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  • Bohr as a Phenomenological Realist.Towfic Shomar - 2008 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 39 (2):321-349.
    There is confusion among scholars of Bohr as to whether he should be categorized as an instrumentalist (see Faye 1991) or a realist (see Folse 1985). I argue that Bohr is a realist, and that the confusion is due to the fact that he holds a very special view of realism, which did not coincide with the philosophers’ views. His approach was sometimes labelled instrumentalist and other times realist, because he was an instrumentalist on the theoretical level, but a realist (...)
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  • The role of experts in the methodology of economics.Carlo Martini - 2014 - Journal of Economic Methodology 21 (1):77-91.
    Is subjective expert judgment a source of evidence in economics? In this paper, I will argue that it is, on a par with other sources like modeling, statistics, experimental, etc. I will also argue that it is not derivative, that is, reducible to the previous ones. But what is exactly the role of experts in economics? The contribution to the current methodological debate that I propose not only takes the role of expertise in economics as indispensable, but also suggests a (...)
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  • Scientific models, partial structures and the new received view of theories. [REVIEW]Gabriele Contessa - 2006 - Studies in History and Philosophy of Science Part A 37 (2):370-377.
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  • Defending the Semantic View: what it takes.Soazig Le Bihan - 2012 - European Journal for Philosophy of Science 2 (3):249-274.
    In this paper, a modest version of the Semantic View is motivated as both tenable and potentially fruitful for philosophy of science. An analysis is proposed in which the Semantic View is characterized by three main claims. For each of these claims, a distinction is made between stronger and more modest interpretations. It is argued that the criticisms recently leveled against the Semantic View hold only under the stronger interpretations of these claims. However, if one only commits to the modest (...)
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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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  • Shared structure need not be shared set-structure.Elaine Landry - 2007 - Synthese 158 (1):1 - 17.
    Recent semantic approaches to scientific structuralism, aiming to make precise the concept of shared structure between models, formally frame a model as a type of set-structure. This framework is then used to provide a semantic account of (a) the structure of a scientific theory, (b) the applicability of a mathematical theory to a physical theory, and (c) the structural realist’s appeal to the structural continuity between successive physical theories. In this paper, I challenge the idea that, to be so used, (...)
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  • Models, confirmation, and chaos.Jeffrey Koperski - 1998 - Philosophy of Science 65 (4):624-648.
    The use of idealized models in science is by now well-documented. Such models are typically constructed in a “top-down” fashion: starting with an intractable theory or law and working down toward the phenomenon. This view of model-building has motivated a family of confirmation schemes based on the convergence of prediction and observation. This paper considers how chaotic dynamics blocks the convergence view of confirmation and has forced experimentalists to take a different approach to model-building. A method known as “phase space (...)
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  • (1 other version)Between theory and experiment: model use in dark matter detection.Rami Jreige - 2024 - European Journal for Philosophy of Science 14 (4):1-25.
    There is a complex interplay between the models in dark matter detection experiments that have led to a difficulty in interpreting the results of the experiments and ascertain whether we have detected the particle or not. The aim of this paper is to categorise and explore the different models used in said experiments, by emphasizing the distinctions and dependencies among different types of models used in this field. With a background theory, models are categorised into four distinct types: background theory, (...)
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  • How to be a scientific realist (if at all): a study of partial realism.Dean Peters - 2012 - Dissertation, London School of Economics
    "Partial realism" is a common position in the contemporary philosophy of science literature. It states that the "essential" elements of empirically successful scientific theories accurately represent corresponding features the world. This thesis makes several novel contributions related to this position. Firstly, it offers a new definition of the concept of “empirical success”, representing a principled merger between the use-novelty and unification accounts. Secondly, it provides a comparative critical analysis of various accounts of which elements are "essential" to the success of (...)
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  • Stabilization of phenomenon and meaning: On the London & London episode as a historical case in philosophy of science.Jan Potters - 2019 - European Journal for Philosophy of Science 9 (2):23.
    In recent years, the use of historical cases in philosophy of science has become a proper topic of reflection. In this article I will contribute to this research by means of a discussion of one very famous example of case-based philosophy of science, namely the debate on the London & London model of superconductivity between Cartwright, Suárez and Shomar on the one hand, and French, Ladyman, Bueno and Da Costa on the other. This debate has been going on for years, (...)
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  • (1 other version)Okasha’s Unintended Argument for Toolbox Theorizing.C. Kenneth Waters - 2011 - Philosophy and Phenomenological Research 82 (1):232-240.
    Okasha claims at the outset of his book "Evolution and the Levels of Selection" that the Price equation lays bare the fundamentals underlying all selection phenomena. However, the thoroughness of his subsequent analysis of multi-level selection theories leads him to abandon his fundamentalist commitments. At critical points he invokes cost benefit analyses that sometimes favors the Price approach and sometimes the contextual approach, sometimes favors MLS1 and sometimes MLS2. And although he doesn’t acknowledge it, even the Price approach breaks down (...)
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  • Modeling the social organization of science: Chasing complexity through simulations.Carlo Martini & Manuela Fernández Pinto - 2016 - European Journal for Philosophy of Science 7 (2):221-238.
    At least since Kuhn’s Structure, philosophers have studied the influence of social factors in science’s pursuit of truth and knowledge. More recently, formal models and computer simulations have allowed philosophers of science and social epistemologists to dig deeper into the detailed dynamics of scientific research and experimentation, and to develop very seemingly realistic models of the social organization of science. These models purport to be predictive of the optimal allocations of factors, such as diversity of methods used in science, size (...)
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  • (1 other version)Explanation and Understanding through Scientific Models.Richard David-Rus - 2009 - Dissertation, University Munich
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  • Shifting to structures in physics and biology: A prophylactic for promiscuous realism.Steven French - 2011 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 42 (2):164-173.
    Within the philosophy of science, the realism debate has been revitalised by the development of forms of structural realism. These urge a shift in focus from the object oriented ontologies that come and go through the history of science to the structures that remain through theory change. Such views have typically been elaborated in the context of theories of physics and are motivated by, first of all, the presence within such theories of mathematical equations that allow straightforward representation of the (...)
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  • Theories: Tools versus models.Mauricio Suárez & Nancy Cartwright - 2008 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 39 (1):62-81.
    In “The Toolbox of Science” (1995) together with Towfic Shomar we advocated a form of instrumentalism about scientific theories. We separately developed this view further in a number of subsequent works. Steven French, James Ladyman, Otavio Bueno and Newton Da Costa (FLBD) have since written at least eight papers and a book criticising our work. Here we defend ourselves. First we explain what we mean in denying that models derive from theory – and why their failure to do so should (...)
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  • Pluralists about Pluralism? Versions of Explanatory Pluralism in Psychiatry.Jeroen Van Bouwel - 2014 - In Thomas Uebel (ed.), New Directions in the Philosophy of Science. Cham: Springer. pp. 105-119.
    In this contribution, I comment on Raffaella Campaner’s defense of explanatory pluralism in psychiatry (in this volume). In her paper, Campaner focuses primarily on explanatory pluralism in contrast to explanatory reductionism. Furthermore, she distinguishes between pluralists who consider pluralism to be a temporary state on the one hand and pluralists who consider it to be a persisting state on the other hand. I suggest that it would be helpful to distinguish more than those two versions of pluralism – different understandings (...)
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  • A minimal construal of scientific structuralism.Katherine Brading & Elaine Landry - unknown
    The focus of this paper is the recent revival of interest in structuralist approaches to science and, in particular, the structural realist position in philosophy of science . The challenge facing scientific structuralists is three-fold: i) to characterize scientific theories in ‘structural’ terms, and to use this characterization ii) to establish a theory-world connection (including an explanation of applicability) and iii) to address the relationship of ‘structural continuity’ between predecessor and successor theories. Our aim is to appeal to the notion (...)
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  • Automated Discovery Systems, part 2: New developments, current issues, and philosophical lessons in machine learning and data science.Piotr Giza - 2021 - Philosophy Compass 17 (1):e12802.
    Philosophy Compass, Volume 17, Issue 1, January 2022.
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  • Idealization within a Structuralist Perspective.Xavier de Donato Rodríguez - 2011 - Metatheoria – Revista de Filosofía E Historia de la Ciencia 1:65--90.
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  • (1 other version)To Save the Semantic View.Thomas Cunningham - unknown
    Proponents of the semantic approach to scientific theories cite a number of critical publications as the origins of their positions. While the semantic view experienced widespread adoption by philosophers of science in the decades leading up to the 1990s, over the last two decades opposition to the view has increased demonstrably. This growing disaffection suggests a two-part question: What exactly are the objections to the semantic view of scientific theories, and does the view have the conceptual resources to combat its (...)
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  • The Epistemology of Measurement: A Model-based Account.Eran Tal - 2012 - Dissertation, University of Toronto
    This work develops an epistemology of measurement, that is, an account of the conditions under which measurement and standardization methods produce knowledge as well as the nature, scope, and limits of this knowledge. I focus on three questions: (i) how is it possible to tell whether an instrument measures the quantity it is intended to? (ii) what do claims to measurement accuracy amount to, and how might such claims be justified? (iii) when is disagreement among instruments a sign of error, (...)
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