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  1. added 2020-06-02
    Multiple-Models Juxtaposition and Trade-Offs Among Modeling Desiderata.Yoshinari Yoshida - forthcoming - Philosophy of Science.
    This paper offers a characterization of what I call multiple-models juxtaposition (MMJ), a strategy for managing trade-offs among modeling desiderata. MMJ displays models of distinct phenomena together and fulfills different desiderata both in the individual models and by a comparison of those models. I discuss a concrete case from developmental biology, where MMJ coordinates generality and detail. I also clarify the distinction between MMJ and multiple-models idealization (MMI), which also uses multiple models to manage trade-offs among desiderata. MMJ and MMI (...)
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  2. added 2020-05-21
    Битие и наука.Vasil Penchev - 1996 - Sofia: "Дамян Яков".
    The book suggests a "phenomological" philosophy of science, in the sense of Husserl and Heidegger. Reality is consideried as continuity. The scientific model is entangled into reality by many links in a single context rather than to redlect a certain separate part of reality studied by a scientific discipline as an "image of reality", A coherent, rather than correspondent, concept of truth is relevant to that kind of philosophy of science.
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  3. added 2020-05-12
    Cristina Marras, Metaphora translata voce. [REVIEW]Sergio Volodia Marcello Cremaschi - 2010 - Rivista di Filosofia 101 (3):450-452.
    The theses in this book are: 1) the tension between the Leibnizian theory of the tropes and their use is resolved in a "pragmatic of discourse" that gives the metaphor a richer dimension than the theorized one, that is, that of "a mechanism capable of combining elements coming from different conceptual spaces into a new metaphorical conceptual space, 'shapeless' to which the metaphor itself provides an adequate language to describe and structure it"; 2) the role of metaphors is placed for (...)
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  4. added 2020-05-08
    Metafore, modelli, linguaggio scientifico: il dibattito postempirista.Sergio Volodia Marcello Cremaschi - 1988 - In Melchiorre Virgilio (ed.), Simbolo e conoscenza. Milan, Italy: VIta e Pensiero. pp. 31-102.
    I discuss Mary Hess’s interaction-view of scientific metaphor, outline an alternative view and show how it may prove fruitful when applied to chapters of the history of science. I start with a reconstruction of the discussion on the nature of scientific models and on their relationship to metaphors that has taken place in the Anglo-Saxon philosophy of Science starting from the Fifties; the discovery started with Stephen Pepper and Kenneth Burke, reaching Thomas Kuhn, Marx Wartofsky, and George Lakoff via Max (...)
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  5. added 2020-04-13
    What’s Right with a Syntactic Approach to Theories and Models?Sebastian Lutz - 2010 - Erkenntnis (S8):1-18.
    Syntactic approaches in the philosophy of science, which are based on formalizations in predicate logic, are often considered in principle inferior to semantic approaches, which are based on formalizations with the help of structures. To compare the two kinds of approach, I identify some ambiguities in common semantic accounts and explicate the concept of a structure in a way that avoids hidden references to a specific vocabulary. From there, I argue that contrary to common opinion (i) unintended models do not (...)
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  6. added 2020-03-04
    Resolving the Nebulae: The Science and Art of Representing M51.Elizabeth A. Kessler - 2007 - Studies in History and Philosophy of Science Part A 38 (2):477-491.
    Astronomy has a long tradition of translating data into different visual representations and scholars have noted a division between ‘pretty pictures’ and scientific images. A series of drawings and engravings of M51 derived from Lord Rosse’s observations at Birr Castle and Hubble Space Telescope images of the same object offer an opportunity to examine shifts in the object’s representation within a given period, as well as over the long history of observing it. This demonstrates both the consistent interest of astronomy (...)
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  7. added 2020-02-06
    Building Ontologies with Basic Formal Ontology.Robert Arp, Barry Smith & Andrew D. Spear - 2015 - Cambridge, MA: MIT Press.
    In the era of “big data,” science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. Applied ontology offers a strategy for the organization of scientific information in computer-tractable form, drawing on concepts not only from computer and information science but also from linguistics, logic, and philosophy. This book provides an introduction to the field of applied ontology that is of (...)
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  8. added 2019-10-09
    Explicaciones Geométrico-Diagramáticas en Física desde una Perspectiva Inferencial.Javier Anta - 2019 - Revista Colombiana de Filosofía de la Ciencia 38 (19).
    El primer objetivo de este artículo es mostrar que explicaciones genuinamente geométricas/matemáticas e intrínsecamente diagramáticas de fenómenos físicos no solo son posibles en la práctica científica, sino que además comportan un potencial epistémico que sus contrapartes simbólico-verbales carecen. Como ejemplo representativo utilizaremos la metodología geométrica de John Wheeler (1963) para calcular cantidades físicas en una reacción nuclear. Como segundo objetivo pretendemos analizar, desde un marco inferencial, la garantía epistémica de este tipo de explicaciones en términos de dependencia sintáctica y semántica (...)
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  9. added 2019-10-09
    Синтаксична репрезентація мовної особистості вченого-лінгвіста.Alla Romanchenko - 2017 - Language: Classic – Modern – Postmodern 3:111-121.
    Статтю присвячено синтаксичній репрезентації мовної особистості в лінгвістичному дискурсі. Об’єктом дослідження стали окличні та інтонаційно незакінчені речення. Їх розглянуто як синтаксичні засоби вираження експресивності в різножанрових працях українських учених – О. І. Бондаря, П. Ю. Гриценка, С. Я. Єрмоленко, Ю. О. Карпенка. Акцентовано увагу на типах, семантиці аналізованих висловлювань та їхньому прагматичному потенціалі.
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  10. added 2019-09-23
    Understanding with Models.Philippe Verreault-Julien - 2019 - Erasmus Journal for Philosophy and Economics 12 (1):133-136.
  11. added 2019-09-19
    New Water in Old Buckets: Hypothetical and Counterfactual Reasoning in Mach’s Economy of Science.Lydia Patton - 2019 - In Friedrich Stadler (ed.), Ernst Mach – Life, Work, Influence. Springer Verlag.
    Ernst Mach’s defense of relativist theories of motion in Die Mechanik involves a well-known criticism of Newton’s theory appealing to absolute space, and of Newton’s “bucket” experiment. Sympathetic readers (Norton 1995) and critics (Stein 1967, 1977) agree that there’s a tension in Mach’s view: he allows for some constructed scientific concepts, but not others, and some kinds of reasoning about unobserved phenomena, but not others. Following Banks (2003), I argue that this tension can be interpreted as a constructive one, springing (...)
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  12. added 2019-09-12
    The Relation Between Scientific Models and Their Targets: Report on the “Representation in Science” Workshop.Aldo Filomeno - 2019 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 50 (2):307-310.
    Brief overview of the debates held in the workshop on scientific representation, in Prague, May 2018.
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  13. added 2019-09-12
    Resolving and Understanding Differences Between Agent-Based Accounts of Scientific Representation.Brandon Boesch - 2019 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 50 (2):195-213.
    Agent-based accounts of scientific representation all agree that the representational relationship is constituted by the actions of scientists. Despite this agreement, there are several differences in how agent-based accounts describe scientific representation. In this essay, I argue that these differences do not undercut the compatibility between the accounts. I make my argument by examining the nature of human agency and demonstrating that scientific, representational actions are multiply describable. I then argue that the differences between the accounts are valuable because they (...)
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  14. added 2019-09-12
    The Means-End Account of Scientific, Representational Actions.Brandon Boesch - 2019 - Synthese 196 (6):2305-2322.
    While many recent accounts of scientific representation have given a central role to the agency and intentions of scientists in explaining representation, they have left these agential concepts unanalyzed. An account of scientific, representational actions will be a useful piece in offering a more complete account of the practice of representation in science. Drawing on an Anscombean approach to the nature of intentional actions, the Means-End Account of Scientific, Representational Actions describes three features of scientific, representational actions: the final description (...)
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  15. added 2019-09-12
    Representing in the Student Laboratory.Brandon Boesch - 2018 - Transversal: International Journal for the Historiography of Science 5:34-48.
    In this essay, I will expand the philosophical discussion about the representational practice in science to examine its role in science education through four case studies. The cases are of what I call ‘educational laboratory experiments’, performative models used representationally by students to come to a better understanding of theoretical knowledge of a scientific discipline. The studies help to demonstrate some idiosyncratic features of representational practices in science education, most importantly a lack of novelty and discovery built into the ELEs (...)
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  16. added 2019-09-09
    Coordination Instead of Consensus Classification: Insights From Systematics for Bio-Ontologies.Beckett Sterner, Joeri Witteveen & Nico Franz - forthcoming - History and Philosophy of the Life Sciences.
    Big data is opening new angles on old questions about scientific progress. Is scientific knowledge cumulative? If yes, how does it make progress? In the life sciences, what we call the Consensus Principle has dominated the design of data discovery and integration tools: the design of a formal classificatory system for expressing a body of data should be grounded in consensus. Based on current approaches in biomedicine and systematic biology, we formulate and compare three types of the Consensus Principle: realist, (...)
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  17. added 2019-09-08
    Remarks on Scientific Metaphors.Sergio Volodia Marcello Cremaschi - 1988 - In Maria Luisa Dalla Chiara & Maria Clara Galavotti (eds.), Temi e prospettive della Logica e Filosofia della Scienza. Volume 2. Bologna, Italy: CLUEB. pp. 114-116.
    Recent contributions by Kuhn, Wartofsky, and Granger, converge in the direction of an extended view of models, one that acknowledges a metaphorical dimension in the language of science. Such a view is in some respects the opposite of the views of both Bachelard and the Logical Empiricists. A number of familiar puzzles of the philosophy of science, such as the problem of reference, the opposition of realism and instrumentalism, that between explanation and understanding, and the status of scientific objectivity, may (...)
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  18. added 2019-06-24
    Indispensability and Effectiveness of Diagrams in Molecular Biology.Javier Anta - 2019 - Quaderns de Filosofia 6 (1):29-46.
    In this paper I aim to defend a twofold thesis. On one hand, I will sup-port, against Perini [7], the indispensability of diagrams when structurally complex biomolecules are concerned, since it is not possible to satisfactorily use linguistic-sentential representations at that domain. On the other hand, even when diagrams are dispensable I will defend than they will generally be more effective than other representations in encoding biomolecular knowledge, relying on Kulvicki-Shimojima’s diagrammatic effectiveness thesis. Finally, I will ground many epistemic virtues (...)
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  19. added 2019-06-06
    Trade-Offs in Model-Building: A More Target-Oriented Approach.John Matthewson - 2011 - Studies in History and Philosophy of Science Part A 42 (2):324-333.
    In his 1966 paper “The Strategy of model-building in Population Biology”, Richard Levins argues that no single model in population biology can be maximally realistic, precise and general at the same time. This is because these desirable model properties trade-off against one another. Recently, philosophers have developed Levins’ claims, arguing that trade-offs between these desiderata are generated by practical limitations on scientists, or due to formal aspects of models and how they represent the world. However this project is not complete. (...)
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  20. added 2019-06-06
    Reference to the Best Explanation.Arash Pessian - 2010 - Studies in History and Philosophy of Science Part A 41 (4):363-374.
    This paper shows that two questions productively overlap: first, in virtue of what does an agent infer one hypothesis rather than another? Second, in virtue of what does an agent refer to one natural kind rather than another? Peter Lipton answers the first question by articulating the model of inference to the best explanation. Lipton’s answer to the first question is appropriated as an answer to the second.Keywords: Reference; Explanation; Natural kind; Qua problem; Peter Lipton.
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  21. added 2019-06-06
    Scientific Representation: Paradoxes of Perspective. [REVIEW]Jeffrey A. Barrett - 2009 - Journal of Philosophy 106 (11):634-639.
  22. added 2019-06-06
    Sichtbarmachung, Common Sense and Construction in Fluid Mechanics: The Cases of Hele-Shaw and Ludwig Prandtl.David Bloor - 2008 - Studies in History and Philosophy of Science Part A 39 (3):349-358.
    At the turn of the nineteenth and twentieth centuries a concerted effort was made in the discipline of fluid mechanics to make hidden and fleeting processes visible and to capture the results photographically. I examine two important cases. One concerns the photographs taken by H. S. Hele-Shaw in the 1890s showing the flow of a “perfect”, frictionless fluid. The other case deals with the photographs of boundary layer separation taken by Ludwig Prandtl. These were presented to the Third International Congress (...)
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  23. added 2019-06-06
    The Semantic View, Empirical Adequacy, and Application.Mauricio Suárez - 2005 - Critica 37 (109):29-63.
    It is widely accepted in contemporary philosophy of science that the domain of application of a theory is typically larger than its explanatory covering power: theories can be applied to phenomena that they do not explain. I argue for an analogous thesis regarding the notion of empirical adequacy. A theory's domain of application is typically larger than its domain of empirical adequacy: theories are often applied to phenomena from which they receive no empirical confirmation. \\\ Existe en la filosofía de (...)
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  24. added 2019-06-06
    Historia y combinatoria de las representaciones científicas. Comentarios a la propuesta de Ibarra y Mormann.Sergio F. Martínez - 2001 - Critica 33 (99):75-95.
    En este texto se examina críticamente la teoría combinatoria de las representaciones científicas de Andoni Ibarra y Thomas Mormann. El núcleo de la crítica va dirigido a mostrar que una serie de estudios sobre la ciencia, que ellos mismos mencionan, sugiere que la clasificación en tipos de representaciones propuesta es problemática. Es más, esos mismos estudios muestran que por lo menos muchas representaciones tienen una dimensión histórica que parece imposible capturar por medio del tipo de formalismo propuesto. /// Ibarra and (...)
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  25. added 2019-06-06
    Representaciones en la ciencia. [REVIEW]Jesús P. Zamora Bonilla - 1999 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 14 (2):380-382.
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  26. added 2019-04-14
    Metaphors in the Wealth of Nations.Sergio Volodia Marcello Cremaschi - 2002 - In Boehm Stephan, Christian Gehrke, Heinz D. Kurz & Richard Sturn (eds.), Is There Progress in Economics? Cheltenham, UK: Edward Elgar. pp. 89-114.
    This paper reconstructs the ways in which metaphors are used in the text of “The Wealth of Nations”. Its claims are: a) metaphor statements are basically similar to those in the “Theory of the Moral Sentiments”; b) the metaphors’ ‘primary subjects’ refer to mechanics, hydraulics, blood circulation, agriculture, medicine; c) metaphors may be lumped together into a couple of families, the family of mechanical analogies, and that of iatro-political analogies. Further claims are: a basic physico-moral analogy is the framework for (...)
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  27. added 2019-03-31
    The Epistemic Virtue of Robustness in Climate Modeling (MA Dissertation).Parjanya Joshi - 2019 - Dissertation, Tata Institute of Social Sciences
    The aim of this dissertation is to comprehensively study various robustness arguments proposed in the literature from Levins to Lloyd as well as the opposition offered to them and pose enquiry into the degree of epistemic virtue that they provide to the model prediction results with respect to climate science and modeling. Another critical issue that this dissertation strives to examine is that of the actual epistemic notion that is operational when scientists and philosophers appeal to robustness. In attempting to (...)
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  28. added 2019-03-26
    Granger and Science as Network of Models.Sergio Volodia Marcello Cremaschi - 1987 - Manuscrito 10 (2):111-136.
    The discovery of the role of models in science by Granger parallels the analogous discovery made by Mary Hesse and Marx Wartofsky. The role models are granted highlights the linguistic dimension of science, resulting in a 'softening' of Bachelard's rationalistic epistemology without lapsing into relativism. A 'linguistic' theory of metaphor, as contrasted with Bachelard's 'psychological' theory, is basic to Granger's account of models. A final paragraph discusses to what extent Granger's 'mature' theory of models would imply a revision of his (...)
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  29. added 2019-03-21
    There Is No Special Problem About Scientific Representation.Craig Callender & Jonathan Cohen - 2005 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 21 (1):67-85.
    We propose that scientific representation is a special case of a more general notion of representation, and that the relatively well worked-out and plausible theories of the latter are directly applicable to thc scientific special case. Construing scientific representation in this way makes the so-called “problem of scientific representation” look much less interesting than it has seerned to many, and suggests that some of the debates in the literature are concerned with non-issues.
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  30. added 2019-03-13
    Deflationary Representation, Inference, and Practice.Mauricio Suárez - 2015 - Studies in History and Philosophy of Science Part A 49:36-47.
    This paper defends the deflationary character of two recent views regarding scientific representation, namely RIG Hughes’ DDI model and the inferential conception. It is first argued that these views’ deflationism is akin to the homonymous position in discussions regarding the nature of truth. There, we are invited to consider the platitudes that the predicate “true” obeys at the level of practice, disregarding any deeper, or more substantive, account of its nature. More generally, for any concept X, a deflationary approach is (...)
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  31. added 2019-02-23
    Bachelard avec la simulation informatique: nous faut-il reconduire sa critique de l'intuition ?Franck Varenne - 2006 - In Robert Damien & B. Hufschmitt (eds.), Bachelard: Confiance Raisonnée Et Défiance Rationnelle. Besançon: Presses Universitaires de Franche-Comté. pp. 111-143.
    Dans un nombre croissant de domaines scientifiques - sciences de la nature, sciences humaines aussi bien que sciences des artefacts -, la simulation ne joue plus le rôle de succédané temporaire d'une théorie encore en gésine parce que non encore élaborée ; c'est-à-dire qu'elle ne joue plus systématiquement le rôle d'un modèle provisoire ou d'un schéma servant à condenser les mesures. C'est qu'elle n'a pas la nature d'un signe graphique, linguistique ou mathématique. Elle joue au contraire de plus en plus (...)
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  32. added 2019-02-01
    Bastiaan C. Van Fraassen - Scientific Representation: Paradoxes of Perspective.Bradley Monton - 2018 - Humana Mente 4 (13).
    This is a review of van Fraassen's new book, _Scientific Representation_.
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  33. added 2019-01-28
    Learning About Reality Through Models and Computer Simulations.Melissa Jacquart - 2018 - Science & Education 27 (7-8):805-810.
    Margaret Morrison, (2015) Reconstructing Reality: Models, Mathematics, and Simulations. Oxford University Press, New York. -/- Scientific models, mathematical equations, and computer simulations are indispensable to scientific practice. Through the use of models, scientists are able to effectively learn about how the world works, and to discover new information. However, there is a challenge in understanding how scientists can generate knowledge from their use, stemming from the fact that models and computer simulations are necessarily incomplete representations, and partial descriptions, of their (...)
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  34. added 2018-10-25
    Idealizations, Essential Self-Adjointness, and Minimal Model Explanation in the Aharonov–Bohm Effect.Shech Elay - 2017 - Synthese 195 (11):4839-4863.
    Two approaches to understanding the idealizations that arise in the Aharonov–Bohm effect are presented. It is argued that a common topological approach, which takes the non-simply connected electron configuration space to be an essential element in the explanation and understanding of the effect, is flawed. An alternative approach is outlined. Consequently, it is shown that the existence and uniqueness of self-adjoint extensions of symmetric operators in quantum mechanics have important implications for philosophical issues. Also, the alleged indispensable explanatory role of (...)
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  35. added 2018-10-25
    Fiction, Depiction, and the Complementarity Thesis in Art and Science.Elay Shech - 2016 - The Monist 99 (3):311-332.
    In this paper, I appeal to a distinction made by David Lewis between identifying and determining semantic content in order to defend a complementarity thesis expressed by Anjan Chakravartty. The thesis states that there is no conflict between informational and functional views of scientific modeling and representation. I then apply the complementarity thesis to well-received theories of pictorial representation, thereby stressing the fruitfulness of drawing an analogy between the nature of fictions in art and in science. I end by attending (...)
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  36. added 2018-10-25
    Scientific Misrepresentation and Guides to Ontology: The Need for Representational Code and Contents.Elay Shech - 2015 - Synthese 192 (11):3463-3485.
    In this paper I show how certain requirements must be set on any tenable account of scientific representation, such as the requirement allowing for misrepresentation. I then continue to argue that two leading accounts of scientific representation— the inferential account and the interpretational account—are flawed for they do not satisfy such requirements. Through such criticism, and drawing on an analogy from non-scientific representation, I also sketch the outline of a superior account. In particular, I propose to take epistemic representations to (...)
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  37. added 2018-10-25
    What Is the Paradox of Phase Transitions?Elay Shech - 2013 - Philosophy of Science 80 (5):1170-1181.
    I present a novel approach to the scholarly debate that has arisen with respect to the philosophical import one should infer from scientific accounts of phase transitions by appealing to a distinction between representation understood as denotation, and faithful representation understood as a type of guide to ontology. It is argued that the entire debate is misguided, for it stems from a pseudo-paradox that does not license the type of claims made by scholars and that what is really interesting about (...)
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  38. added 2018-09-20
    There Is No Special Problem About Scientific Representation.Craig Callender & Jonathan Cohen - 2010 - Theoria : An International Journal for Theory, History and Fundations of Science 21 (1):67-85.
    We propose that scientific representation is a special case of a more general notion of representation, and that the relatively well worked-out and plausible theories of the latter are directly applicable to the scientific special case.
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  39. added 2018-09-03
    Scientific Representation.Roman Frigg & James Nguyen - 2016 - Stanford Encyclopedia of Philosophy.
    Science provides us with representations of atoms, elementary particles, polymers, populations, genetic trees, economies, rational decisions, aeroplanes, earthquakes, forest fires, irrigation systems, and the world’s climate. It's through these representations that we learn about the world. This entry explores various different accounts of scientific representation, with a particular focus on how scientific models represent their target systems. As philosophers of science are increasingly acknowledging the importance, if not the primacy, of scientific models as representational units of science, it's important to (...)
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  40. added 2018-08-29
    Les notions de métaphore et d'analogie dans les épistémologies des modèles et des simulations.Franck Varenne - 2006 - Paris, France: Editions Petra.
    Le développement considérable des simulations informatiques dans les sciences contemporaines impose une remise à plat des épistémologies des modèles. Franck Varenne propose de revenir sur les limites des notions de métaphore et d'analogie pour penser les modèles, en particulier quand il s'agit des modèles composés, des pluri-modèles et des modèles de simulation (à objets ou à agents), tels qu'ils se développent depuis une dizaine d'années. Il suggère que le paradigme linguistique, à l'oeuvre aussi bien dans la pensée analytique anglo-saxonne que (...)
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  41. added 2018-08-28
    Théorie, Réalité, Modèle.Franck Varenne - 2012 - Paris, France: Editions Matériologiques.
    Dans cet ouvrage, Franck Varenne pose la question du réalisme scientifique, essentiellement dans sa forme contemporaine, et ce jusqu’aux années 1980. Il s’est donné pour cela la contrainte de focaliser l’attention sur ce que devenaient sa formulation et les réponses diverses qu’on a pu lui apporter en réaction spécifique à l’évolution parallèle qu’ont subie les notions de théories et surtout de modèles dans les sciences, à la même époque. Même si, bien sûr, on ne peut pas attribuer le considérable essor (...)
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  42. added 2018-05-30
    Getting Serious About Shared Features.Donal Khosrowi - 2020 - British Journal for the Philosophy of Science 71 (2):523-546.
    In Simulation and Similarity, Michael Weisberg offers a similarity-based account of the model–world relation, which is the relation in virtue of which successful models are successful. Weisberg’s main idea is that models are similar to targets in virtue of sharing features. An important concern about Weisberg’s account is that it remains silent on what it means for models and targets to share features, and consequently on how feature-sharing contributes to models’ epistemic success. I consider three potential ways of concretizing the (...)
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  43. added 2018-04-23
    Formats of Representation in Scientific Theorizing.Marion Vorms - 2009 - In Paul Humphreys & Cyrille Imbert (eds.), Models, Simulations, and Representations. Routledge.
    This paper is intended to sketch the definition of a methodological tool -- the notion of a format of representation -- for the study of scientific theorising. One of its main assumption is that a philosophical study of theorising needs to pay attention to other types of units of analysis than the traditional ones, namely, theories and models approached in a logical and structural way, since scientific reasoning is always led on concrete representational devices and depends upon their specific properties. (...)
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  44. added 2018-03-08
    There Is a Special Problem of Scientific Representation.Brandon Boesch - 2017 - Philosophy of Science 84 (5):970-981.
    Callender and Cohen argue that there is no need for a special account of the constitution of scientific representation. I argue that scientific representation is communal and therefore deeply tied to the practice in which it is embedded. The communal nature is accounted for by licensing, the activities of scientific practice by which scientists establish a representation. A case study of the Lotka-Volterra model reveals how licensure is a constitutive element of the representational relationship. Thus, any account of the constitution (...)
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  45. added 2018-02-18
    Can Partial Structures Accommodate Inconsistent Science?Peter Vickers - 2009 - Principia: An International Journal of Epistemology 13 (2):133-250.
    The semantic approach to scientific representation is now long established as a favourite amongst philosophers of science. One of the foremost strains of this approach—the model-theoretic approach —is to represent scientific theories as families of models, all of which satisfy or ‘make true’ a given set of constraints. However some authors have criticised the approach on the grounds that certain scientific theories are logically inconsistent, and there can be no models of an inconsistent set of constraints. Thus it would seem (...)
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  46. added 2018-02-17
    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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  47. added 2018-02-17
    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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  48. added 2018-02-16
    Models as Signs: Extending Kralemann and Lattman’s Proposal on Modeling Models Within Peirce’s Theory of Signs.Sergio Gallegos - 2019 - Synthese 196 (12):5115-5136.
    In recent decades, philosophers of science have devoted considerable efforts to understand what models represent. One popular position is that models represent fictional situations. Another position states that, though models often involve fictional elements, they represent real objects or scenarios. Though these two positions may seem to be incompatible, I believe it is possible to reconcile them. Using a threefold distinction between different signs proposed by Peirce, I develop an argument based on a proposal recently made by Kralemann and Lattman (...)
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  49. added 2018-02-02
    Representation and Truthlikeness.Ilkka Niiniluoto - 2014 - Foundations of Science 19 (4):375-379.
    Woosuk Park’s paper “Misrepresentation in Context” is a useful plea for a theory of representation with promising interaction between cognitive science, philosophy of science, and aesthetics. In this paper, I argue that such a unified account is provided by Charles S. Peirce’s semiotics. This theory puts Park’s criticism of Nelson Goodman and Jerry Fodor in context. Some of Park’s pertinent remarks on the problem of misrepresentation can be illuminated by the account of truthlikeness and idealization developed by philosophers of science.
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  50. added 2018-02-01
    A Sharp Eye for Kinds: Collection and Division in Plato's Late Dialogues.Devin Henry - 2011 - In Michael Frede, James V. Allen, Eyjólfur Kjalar Emilsson, Wolfgang-Rainer Mann & Benjamin Morison (eds.), Oxford Studies in Ancient Philosophy. Oxford University Press. pp. 229-55.
    This paper focuses on two methodological questions that arise from Plato’s account of collection and division. First, what place does the method of collection and division occupy in Plato’s account of philosophical inquiry? Second, do collection and division in fact constitute a formal “method” (as most scholars assume) or are they simply informal techniques that the philosopher has in her toolkit for accomplishing different philosophical tasks? I argue that Plato sees collection and division as useful tools for achieving two distinct (...)
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