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Models and stories in Hadron physics

In Mary S. Morgan & Margaret Morrison (eds.), Models as Mediators: Perspectives on Natural and Social Science. Cambridge University Press. pp. 326-346 (1999)

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  1. Articulating the World: Experimental Systems and Conceptual Understanding.Joseph Rouse - 2011 - International Studies in the Philosophy of Science 25 (3):243 - 254.
    Attention to scientific practice offers a novel response to philosophical queries about how conceptual understanding is empirically accountable. The locus of the issue is thereby shifted, from perceptual experience to experimental and fieldwork interactions. More important, conceptual articulation is shown to be not merely ?spontaneous? and intralinguistic, but instead involves a establishing a systematic domain of experimental operations. The importance of experimental practice for conceptual understanding is especially clearly illustrated by cases in which entire domains of scientific investigation were first (...)
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  • (1 other version)Scientific representation.Mauricio Suárez - 2010 - Philosophy Compass 5 (1):91-101.
    Scientific representation is a currently booming topic, both in analytical philosophy and in history and philosophy of science. The analytical inquiry attempts to come to terms with the relation between theory and world; while historians and philosophers of science aim to develop an account of the practice of model building in the sciences. This article provides a review of recent work within both traditions, and ultimately argues for a practice-based account of the means employed by scientists to effectively achieve representation (...)
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  • Pictures, pluralism, and feminist epistemology: Lessons from “coming to understand”.Letitia Meynell - 2008 - Hypatia 23 (4):pp. 1-29.
    Meynell’s contention is that feminists should attend to pictures in science as distinctive bearers of epistemic content that cannot be reduced to propositions. Remarks on the practice and function of medical illustration—specifically, images Nancy Tuana used in her discussion of the construction of ignorance of women’s sexual function (2004)—show pictures to be complex and powerful epistemic devices. Their affinity with perennial feminist concerns, the relation between epistemic subject and object, and the nature of social knowledge, are of particular interest.
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  • Understanding metaphorical understanding (literally).Michael T. Stuart & Daniel Wilkenfeld - 2022 - European Journal for Philosophy of Science 12 (3):1-20.
    Metaphors are found all throughout science: in published papers, working hypotheses, policy documents, lecture slides, grant proposals, and press releases. They serve different functions, but perhaps most striking is the way they enable understanding, of a theory, phenomenon, or idea. In this paper, we leverage recent advances on the nature of metaphor and the nature of understanding to explore how they accomplish this feat. We attempt to shift the focus away from the epistemic value of the content of metaphors, to (...)
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  • Data and Model Operations in Computational Sciences: The Examples of Computational Embryology and Epidemiology.Fabrizio Li Vigni - 2022 - Perspectives on Science 30 (4):696-731.
    Computer models and simulations have become, since the 1960s, an essential instrument for scientific inquiry and political decision making in several fields, from climate to life and social sciences. Philosophical reflection has mainly focused on the ontological status of the computational modeling, on its epistemological validity and on the research practices it entails. But in computational sciences, the work on models and simulations are only two steps of a longer and richer process where operations on data are as important as, (...)
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  • 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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  • Formal Semantics and Applied Mathematics: An Inferential Account.Ryan M. Nefdt - 2020 - Journal of Logic, Language and Information 29 (2):221-253.
    In this paper, I utilise the growing literature on scientific modelling to investigate the nature of formal semantics from the perspective of the philosophy of science. Specifically, I incorporate the inferential framework proposed by Bueno and Colyvan : 345–374, 2011) in the philosophy of applied mathematics to offer an account of how formal semantics explains and models its data. This view produces a picture of formal semantic models as involving an embedded process of inference and representation applying indirectly to linguistic (...)
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  • Understanding (with) Toy Models.Alexander Reutlinger, Dominik Hangleiter & Stephan Hartmann - 2018 - British Journal for the Philosophy of Science 69 (4):1069-1099.
    Toy models are highly idealized and extremely simple models. Although they are omnipresent across scientific disciplines, toy models are a surprisingly under-appreciated subject in the philosophy of science. The main philosophical puzzle regarding toy models concerns what the epistemic goal of toy modelling is. One promising proposal for answering this question is the claim that the epistemic goal of toy models is to provide individual scientists with understanding. The aim of this article is to precisely articulate and to defend this (...)
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  • To envision a new particle or change an existing law? Hypothesis formation and anomaly resolution for the curious case of the β decay spectrum.Tjerk Gauderis - 2014 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 45:27-45.
    This paper addresses the question of how scientists determine which type of hypothesis is most suitable for tackling a particular problem by examining the historical case of the anomalous β spectrum in early nuclear physics, a puzzle that occasioned the most diverse hypotheses amongst physicists at the time. It is shown that such determinations are most often implicitly informed by scientists' individual perspectives on the structural relations between the various elements of the theory and the problem at hand. In addition (...)
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  • Classificatory Theory in Biology.Sabina Leonelli - 2013 - Biological Theory 7 (4):338-345.
    Scientific classification has long been recognized as involving a specific style of reasoning and doing research, and as occasionally affecting the development of scientific theories. However, the role played by classificatory activities in generating theories has not been closely investigated within the philosophy of science. I argue that classificatory systems can themselves become a form of theory, which I call classificatory theory, when they come to formalize and express the scientific significance of the elements being classified. This is particularly evident (...)
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  • Classificatory Theory in Data-intensive Science: The Case of Open Biomedical Ontologies.Sabina Leonelli - 2012 - International Studies in the Philosophy of Science 26 (1):47 - 65.
    Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, and argue that (...)
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  • Seeing with Hands and Talking without Words: On Models and Images in the Sciences: Models: The Third Dimension of Science Soraya de Chadarevian and Nick Hopwood, eds Stanford, CA: Stanford University Press, 2004 The Power of Images in Early Modern Science Wolfgang Lefèvre, Jürgen Renn, and Urs Schöpflin, eds Basel: Birkhäuser, 2003 Non-Verbal Communication in Science Prior to 1900 Renato G. Mazzolini, ed Firenze: Leo S. Olschki, 1993.Sabine Brauckmann - 2006 - Biological Theory 1 (2):199-202.
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  • Performing abstraction: Two ways of modelling arabidopsis thaliana.Sabina Leonelli - 2008 - Biology and Philosophy 23 (4):509-528.
    What is the best way to analyse abstraction in scientific modelling? I propose to focus on abstracting as an epistemic activity, which is achieved in different ways and for different purposes depending on the actual circumstances of modelling and the features of the models in question. This is in contrast to a more conventional use of the term ‘abstract’ as an attribute of models, which I characterise as black-boxing the ways in which abstraction is performed and to which epistemological advantage. (...)
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  • (1 other version)The Use of Examples in Philosophy of Technology.Mithun Bantwal Rao - 2022 - Foundations of Science 27 (4):1421-1443.
    This paper is a contribution to a discussion in philosophy of technology by focusing on the epistemological status of the example. Of the various developments in the emerging, inchoate field of philosophy of technology, the “empirical turn” stands out as having left the most enduring mark on the trajectory contemporary research takes. From a historical point of view, the empirical turn can best be understood as a corrective to the overly “transcendentalizing” tendencies of “classical” philosophers of technology, such as Heidegger. (...)
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  • Probing ‘operational coherence’ in Hasok Chang’s pragmatic realism.Omar El Mawas - 2021 - European Journal for Philosophy of Science 11 (4):1-29.
    Hasok Chang is developing a new form of pragmatic scientific realism that aims to reorient the debate away from truth and towards practice. Central to his project is replacing truth as correspondence with his new notion of ‘operational coherence’, which is introduced as: 1) A success term with probative value to judge and guide epistemic activities. 2) A more useful alternative than truth as correspondence in guiding scientific practice. I argue that, given its current construal as neither necessary nor sufficient (...)
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  • History of the Lenz-Ising Model 1920–1950: From Ferromagnetic to Cooperative Phenomena.Martin Niss - 2005 - Archive for History of Exact Sciences 59 (3):267-318.
    Abstract.I chart the considerable changes in the status and conception of the Lenz-Ising model from 1920 to 1950 in terms of three phases: In the early 1920s, Lenz and Ising introduced the model in the field of ferromagnetism. Based on an exact derivation, Ising concluded that it is incapable of displaying ferromagnetic behavior, a result he erroneously extended to three dimensions. In the next phase, Lenz and Ising’s contemporaries rejected the model as a representation of ferromagnetic materials because of its (...)
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  • (1 other version)Isabelle F. Peschard and Bas C. van Fraassen (Eds.): The Experimental Side of Modeling.Adrian Currie - 2020 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 51 (3):499-502.
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  • The Cultural Origins of the Dutch Economic Modeling Practice.Adrienne van den Bogaard - 1999 - Science in Context 12 (2):333-350.
    The ArgumentThe Netherlands has been a pioneering country in the development of macroeconometric modeling and its use in economic policy. The paper shows that the model was used to overcome the fragmented culture of Dutch pillarization. It proves that the specific use of modeling in the policy process is at least partly shaped by a nation's social structure. The case study relates to the outcome of a controversy within the social democratic pillar in the Netherlands in the period 1930–50 as (...)
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  • Idealized, inaccurate but successful: A pragmatic approach to evaluating models in theoretical ecology. [REVIEW]Jay Odenbaugh - 2005 - Biology and Philosophy 20 (2-3):231-255.
    Ecologists attempt to understand the diversity of life with mathematical models. Often, mathematical models contain simplifying idealizations designed to cope with the blooming, buzzing confusion of the natural world. This strategy frequently issues in models whose predictions are inaccurate. Critics of theoretical ecology argue that only predictively accurate models are successful and contribute to the applied work of conservation biologists. Hence, they think that much of the mathematical work of ecologists is poor science. Against this view, I argue that model (...)
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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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  • Understanding Scientific Theories: An Assessment of Developments, 1969–1998.Frederick Suppe - 2000 - Philosophy of Science 67 (3):115.
    The positivistic Received View construed scientific theories syntactically as axiomatic calculi where theoretical terms were given a partial semantic interpretation via correspondence rules connecting them to observation statements. This paper assesses what, with hindsight, seem the most important defects in the Received View; surveys the main proposed successor analyses to the Received View--various Semantic Conception versions and the Structuralist Analysis; evaluates how well they avoid those defects; examines what new problems they face and where the most promising require further development (...)
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  • Generalized frameworks: Structuring searches for new physics.Adam Koberinski - 2023 - European Journal for Philosophy of Science 13 (1):1-23.
    Many areas of frontier physics are confronted with the crisis of a lack of accessible, direct evidence. As a result, direct model building has failed to lead to any new empirical discoveries. In this paper I argue that these areas of frontier physics have developed common methods for turning precision measurements of known quantities into potential evidence for anomalies hinting at new physics. This method of framework generalization has arisen as a sort of model-independent method for generalizing beyond known physics (...)
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  • ‘Models of’ and ‘Models for’: On the Relation between Mechanistic Models and Experimental Strategies in Molecular Biology.Emanuele Ratti - 2020 - British Journal for the Philosophy of Science 71 (2):773-797.
    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 (...)
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  • Physical Theories are Prescriptions, not Descriptions.Shahin Kaveh - 2023 - Erkenntnis 88 (5):1825-1853.
    Virtually all philosophers of science have construed fundamental theories as descriptions of entities, properties, and/or structures. Call this the “descriptive-ontological” view. I argue that this view is incorrect, at least insofar as physical theories are concerned. I propose a novel construal of theories that I call the “prescriptive-dynamical” view. The central tenet of this view, roughly put, is that the _essential_ content of fundamental physical theories is a _prescription for interfacing with natural systems and translating local data into compact theoretical (...)
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  • (1 other version)Reducing the dauer larva: molecular models of biological phenomena in Caenorhabditis elegans research.Michal Arciszewski - 2013 - Synthese 190 (18):4155-4179.
    One important aspect of biological explanation is detailed causal modeling of particular phenomena in limited experimental background conditions. Recognising this allows one to appreciate that a sufficient condition for a reduction in biology is a molecular model of (1) only the demonstrated causal parameters of a biological model and (2) only within a replicable experimental background. These identities—which are ubiquitous in biology and form the basis of ruthless reductions (Bickle, Philosophy and neuroscience: a ruthlessly reductive account, 2003)—are criticised as merely (...)
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  • Classification and Moral Evaluation of Uncertainties in Engineering Modeling.Colleen Murphy, Paolo Gardoni & Charles E. Harris - 2011 - Science and Engineering Ethics 17 (3):553-570.
    Engineers must deal with risks and uncertainties as a part of their professional work and, in particular, uncertainties are inherent to engineering models. Models play a central role in engineering. Models often represent an abstract and idealized version of the mathematical properties of a target. Using models, engineers can investigate and acquire understanding of how an object or phenomenon will perform under specified conditions. This paper defines the different stages of the modeling process in engineering, classifies the various sources of (...)
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  • What are general models about?Alkistis Elliott-Graves - 2022 - European Journal for Philosophy of Science 12 (4):1–26.
    Models provide scientists with knowledge about target systems. An important group of models are those that are called general. However, what exactly is meant by generality in this context is somewhat unclear. The aim of this paper is to draw out a distinction between two notions of generality that has implications for scientific practice. Some models are general in the sense that they apply to many systems in the world and have many particular targets. Another sense is captured by models (...)
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  • Are ABM explanations in the social sciences inevitably individualist?Harold Kincaid & Julie Zahle - 2022 - Synthese 200 (1):1-22.
    Agent-based models are increasingly important in social science research. They have two obvious apparent virtues: they can model complex macrosociological phenomena without strong assumptions about agents and without analytic solutions for models, and they seem to instantiate the methodological individualist program in a concrete way. We argue that the latter claim is false. After providing schematic accounts of ABM models and a first introduction to ways in which to characterize individualist explanations, we work through six conceptions of individualist explanations that (...)
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  • External Validity and Libraries of Phenomena: A Critique of Guala's Methodology of Experimental Economics.Martin K. Jones - 2011 - Economics and Philosophy 27 (3):247-271.
    Francesco Guala has developed some novel and radical ideas on the problem of external validity, a topic that has not received much attention in the experimental economics literature. In this paper I argue that his views on external validity are not justified and the conclusions which he draws from these views, if widely adopted, could substantially undermine the experimental economics enterprise. In rejecting the justification of these views, the paper reaffirms the importance of experiments in economics.
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  • The distribution of representation.Lisa M. Osbeck & Nancy J. Nersessian - 2006 - Journal for the Theory of Social Behaviour 36 (2):141–160.
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  • Explanatory frameworks in complex change and resilience system modelling.Mark Addis & Claudia Eckert - forthcoming - Logic Journal of the IGPL.
    Heterogenous flows across system boundaries continue to pose significant problems for efficient resource allocation especially with respect to long term strategic planning and immediate problems about allocation to address particular resource shortages. The approach taken here to modelling such flows is an engineering change prediction one. This enables margin modelling by producing system models in dependency matrices with different linkage types. Change prediction approaches from engineering design can analyse where these bottlenecks in integrated systems would be so that resources can (...)
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  • Scientific modelling in generative grammar and the dynamic turn in syntax.Ryan M. Nefdt - 2016 - Linguistics and Philosophy 39 (5):357-394.
    In this paper, I address the issue of scientific modelling in contemporary linguistics, focusing on the generative tradition. In so doing, I identify two common varieties of linguistic idealisation, which I call determination and isolation respectively. I argue that these distinct types of idealisation can both be described within the remit of Weisberg’s :639–659, 2007) minimalist idealisation strategy in the sciences. Following a line set by Blutner :27–35, 2011), I propose this minimalist idealisation analysis for a broad construal of the (...)
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  • (1 other version)Isabelle F. Peschard and Bas C. van Fraassen (Eds.): The Experimental Side of Modeling: (Minnesota Studies in the Philosophy of Science, Vol 21). University of Minnesota Press, Minnesota, 2018, 336 pp., $ 40,00 (Paperback), ISBN: 978-1-5179-0534-7. [REVIEW]Adrian Currie - 2020 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 51 (3):499-502.
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  • Qualitative Models in Computational Simulative Sciences: Representation, Confirmation, Experimentation.Nicola Angius - 2019 - Minds and Machines 29 (3):397-416.
    The Epistemology Of Computer Simulation has developed as an epistemological and methodological analysis of simulative sciences using quantitative computational models to represent and predict empirical phenomena of interest. In this paper, Executable Cell Biology and Agent-Based Modelling are examined to show how one may take advantage of qualitative computational models to evaluate reachability properties of reactive systems. In contrast to the thesis, advanced by EOCS, that computational models are not adequate representations of the simulated empirical systems, it is shown how (...)
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  • A multiagent approach to modelling complex phenomena.Francesco Amigoni & Viola Schiaffonati - 2008 - Foundations of Science 13 (2):113-125.
    Designing models of complex phenomena is a difficult task in engineering that can be tackled by composing a number of partial models to produce a global model of the phenomena. We propose to embed the partial models in software agents and to implement their composition as a cooperative negotiation between the agents. The resulting multiagent system provides a global model of a phenomenon. We applied this approach in modelling two complex physiological processes: the heart rate regulation and the glucose-insulin metabolism. (...)
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