Results for 'Minkowski spacetime, Scientific discovery, Scientific imagination, Fictions, Explanation, Realism'

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  1. Imagination, Fiction and the Reality of Minkowski’s Discovery of Spacetime.Gregorie Dupuis - 2023 - In Gregorie Dupuis & A. S. Stefanov (eds.), Spacetime Conference 2022. Selected peer-reviewed papers presented at the Sixth International Conference on the Nature and Ontology of Spacetime, 12 - 15 September 2022, Albena, Bulgaria. Montreal: Minkowski Institute Press.
    One of the greatest achievements of modern physics is the discovery of spacetime by Hermann Minkowski. Still, talking about the ”discovery” of spacetime cannot be done without further questioning its ontological status. Did Minkowski discover a real physical substrate? What is the creative role of his scientific imagination in the process of discovery? To what extent the explanatory power of spacetime supports the conclusion that it is a true description of the physical world? I consider those questions (...)
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  2. The Fictional Character of Scientific Models.Stacie Friend - 2019 - In Arnon Levy & Peter Godfrey-Smith (eds.), The Scientific Imagination. New York, US: Oup Usa. pp. 101-126.
    Many philosophers have drawn parallels between scientific models and fictions. In this paper I will be concerned with a recent version of the analogy, which compares models to the imagined characters of fictional literature. Though versions of the position differ, the shared idea is that modeling essentially involves imagining concrete systems analogously to the way that we imagine characters and events in response to works of fiction. Advocates of this view argue that imagining concrete systems plays an ineliminable role (...)
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  3. From Unobservable to Observable: Scientific Realism and the Discovery of Radium.Simon Allzén - 2022 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 53 (4):307-321.
    I explore the process of changes in the observability of entities and objects in science and how such changes impact two key issues in the scientific realism debate: the claim that predictively successful elements of past science are retained in current scientific theories, and the inductive defense of a specific version of inference to the best explanation with respect to unobservables. I provide a case-study of the discovery of radium by Marie Curie in order to show that (...)
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  4. Imagination and Creativity in the Scientific Realm.Alice Murphy - 2024 - In Amy Kind & Julia Langkau (eds.), Oxford Handbook of Philosophy of Imagination and Creativity. Oxford University Press.
    Historically left to the margins, the topics of imagination and creativity have gained prominence in philosophy of science, challenging the once dominant distinction between ‘context of discovery’ and ‘context of justification’. The aim of this chapter is to explore imagination and creativity starting from issues within contemporary philosophy of science, making connections to these topics in other domains along the way. It discusses the recent literature on the role of imagination in models and thought experiments, and their comparison with fictions. (...)
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  5. What Neuroscience Tells Us About Mental Illness: Scientific Realism in the Biomedical Sciences.Marc Jiménez-Rolland & Mario Gensollen - 2022 - Revista de Humanidades de Valparaíso 20:119-140.
    Our philosophical understanding of mental illness is being shaped by neuroscience. However, it has the paradoxical effect of igniting two radically opposed groups of philosophical views. On one side, skepticism and denialism assume that, lacking clear biological mechanisms and etiologies for most mental illnesses, we should infer they are constructions best explained by means of social factors. This is strongly associated with medical nihilism: it considers psychiatry more harmful than benign. On the other side of the divide, naturalism and reductionism (...)
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  6. Realism from the 'lands of Kaleva': an interview with Uskali Mäki.Uskali Mäki - 2008 - Erasmus Journal for Philosophy and Economics 1 (1):124.
    USKALI MÄKI (Helsinki, 1951) is a philosopher of science and a social scientist, and one of the forerunners of the strong wave of research on the philosophy and methodology of economics that has been expanding during the last three decades. His research interests and academic contributions cover many topics in the philosophy of economics, such as realism and realisticness, idealisation, scientific modelling, causation, explanation, rhetoric, the sociology and economics of economics, and the foundations of new institutional and Austrian (...)
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  7. The Role of Imagination in Social Scientific Discovery: Why Machine Discoverers Will Need Imagination Algorithms.Michael Stuart - 2019 - In Mark Addis, Fernand Gobet & Peter Sozou (eds.), Scientific Discovery in the Social Sciences. Springer Verlag.
    When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar (...)
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  8. Kaila's interpretation of Einstein-Minkowski invariance theory.Matias Slavov - 2022 - Studies in History and Philosophy of Science Part A 93 (3):57-65.
    This essay explores Kaila's interpretation of the special theory of relativity. Although the relevance of his work to logical empiricism is well-known, not much has been written on what Kaila calls the ‘Einstein-Minkowski invariance theory’. Kaila's interpretation focuses on two salient features. First, he emphasizes the importance of the invariance of the spacetime interval. The general point about spacetime invariance has been known at least since Minkowski, yet Kaila applies his overall tripartite theory of invariances to space, time (...)
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  9. Cień Boga w ogrodzie filozofa. Parc de La Villette w Paryżu w kontekście filozofii chôry.Wąs Cezary - 2021 - Wrocław: Wydawnictwo Uniwersytetu Wrocławskiego.
    The Shadow of God in the Philosopher’s Garden. The Parc de La Villette in Paris in the context of the philosophy of chôra I Bernard Tschumi’s project of the Parc de La Villette could have won the competition and was implemented thanks to the political atmosphere that accompanied the victory of the left-wing candidate in the French presidential elections in 1981. François Mitterand’s revision of the political programme and the replacement of radical reforms with the construction of prestigious architectural objects (...)
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  10. Models as make-believe: imagination, fiction, and scientific representation.Adam Toon - 2012 - New York: Palgrave-Macmillan.
    Models as Make-Believe offers a new approach to scientific modelling by looking to an unlikely source of inspiration: the dolls and toy trucks of children's games of make-believe.
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  11. The Nature of Model-World Comparisons.Fiora Salis - 2016 - The Monist 99 (3):243-259.
    Upholders of fictionalism about scientific models have not yet successfully explained how scientists can learn about the real world by making comparisons between models and the real phenomena they stand for. In this paper I develop an account of model-world comparisons in terms of what I take to be the best antirealist analyses of comparative claims that emerge from the current debate on fiction.
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  12. Sade: Critique of Pure Fiction.Catherine Cusset - 1994 - Pli 5:115-131.
    A central passage in Cusset’s essay states: “God, for Sade, is fiction that ‘took hold of the minds of men’. What makes God’s weakness, the impossibility of rationally proving his existence, is precisely what constitutes his strength as fiction. Negated as authority, eliminated as the figure of the almighty father, God is nonetheless everywhere in the Sadean novel: he exists as the fiction principle. Libertines are never done with God because his name represents the power, not of the law, but (...)
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  13. The rationality of scientific discovery part 1: The traditional rationality problem.Nicholas Maxwell - 1974 - Philosophy of Science 41 (2):123--53.
    The basic task of the essay is to exhibit science as a rational enterprise. I argue that in order to do this we need to change quite fundamentally our whole conception of science. Today it is rather generally taken for granted that a precondition for science to be rational is that in science we do not make substantial assumptions about the world, or about the phenomena we are investigating, which are held permanently immune from empirical appraisal. According to this standard (...)
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  14. Tecno-especies: la humanidad que se hace a sí misma y los desechables.Mateja Kovacic & María G. Navarro - 2021 - Bajo Palabra. Revista de Filosofía 27 (II Epoca):45-62.
    Popular culture continues fuelling public imagination with things, human and non-human, that we might beco-me or confront. Besides robots, other significant tropes in popular fiction that generated images include non-human humans and cyborgs, wired into his-torically varying sociocultural realities. Robots and artificial intelligence are re-defining the natural order and its hierar-chical structure. This is not surprising, as natural order is always in flux, shaped by new scientific discoveries, especially the reading of the genetic code, that reveal and redefine relationships (...)
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  15. Biological explanations, realism, ontology, and categories.Matthew J. Barker - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):617-622.
    This is an extended review of John Dupré's _Processes of Life_, a collection of essays. It clarifies Dupré's concepts of reductionism and anti-reductionism, and critically examines his associated discussions of downward causation, and both the context sensitivity and multiple realization of categories. It reviews his naturalistic monism, and critically distinguishes between his realism about categories and constructivism about classification. Challenges to his process ontology are presented, as are arguments for his pluralism about scientific categories. None of his main (...)
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  16. Historical Antirealism and the Past as a Fictional Model.David černín - 2019 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 26 (4):635-659.
    This paper focuses on the discipline of history, its methods, subject, and output. A brief overview of contemporary analytic philosophy of history is provided, followed by critical discussion of historical realism. It is argued that the insistence on the idea that historians inquire into the real past and that they refer to the actual past entities, events, or agents is widely open to sceptical objections. The concept of an abstract historical chronicle of past events which are explained or retold (...)
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  17. Regulative Idealization: A Kantian Approach to Idealized Models.Lorenzo Spagnesi - 2023 - Studies in History and Philosophy of Science 99 (C):1-9.
    Scientific models typically contain idealizations, or assumptions that are known not to be true. Philosophers have long questioned the nature of idealizations: Are they heuristic tools that will be abandoned? Or rather fictional representations of reality? And how can we reconcile them with realism about knowledge of nature? Immanuel Kant developed an account of scientific investigation that can inspire a new approach to the contemporary debate. Kant argued that scientific investigation is possible only if guided by (...)
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  18. Imagination extended and embedded: artifactual versus fictional accounts of models.Tarja Knuuttila - 2017 - Synthese 198 (Suppl 21):5077-5097.
    This paper presents an artifactual approach to models that also addresses their fictional features. It discusses first the imaginary accounts of models and fiction that set model descriptions apart from imagined-objects, concentrating on the latter :251–268, 2010; Frigg and Nguyen in The Monist 99:225–242, 2016; Godfrey-Smith in Biol Philos 21:725–740, 2006; Philos Stud 143:101–116, 2009). While the imaginary approaches accommodate surrogative reasoning as an important characteristic of scientific modeling, they simultaneously raise difficult questions concerning how the imagined entities are (...)
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  19. Feyerabend's Reevaluation of Scientific Practice: Quantum Mechanics, Realism and Niels Bohr.Daniel Kuby - 2021 - In Karim Bschir & Jamie Shaw (eds.), Interpreting Feyerabend: Critical Essays. New York, NY: Cambridge University Press. pp. 132-156.
    The aim of this paper is to give an account of the change in Feyerabend's philosophy that made him abandon methodological monism and embrace methodological pluralism. In this paper I offer an explanation in terms of a simple model of 'change of belief through evidence'. My main claim is that the evidence triggering this belief revision can be identified in Feyerabend's technical work in the interpretation of quantum mechanics, in particular his reevaluation of Bohr's contribution to it. This highlights an (...)
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  20. Selective Realism vs. Individual Realism for Scientific Creativity.Seungbae Park - 2017 - Creativity Studies 10 (1):97-107.
    Individual realism asserts that our best scientific theories are (approximately) true. In contrast, selective realism asserts that only the stable posits of our best scientific theories are true. Hence, individual realism recommends that we accept more of what our best scientific theories say about the world than selective realism does. The more scientists believe what their theories say about the world, the more they are motivated to exercise their imaginations and think up new (...)
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  21. Scientific Realism and Empirical Confirmation: a Puzzle.Simon Allzén - 2021 - Studies in History and Philosophy of Science Part A 90:153-159.
    Scientific realism driven by inference to the best explanation (IBE) takes empirically confirmed objects to exist, independent, pace empiricism, of whether those objects are observable or not. This kind of realism, it has been claimed, does not need probabilistic reasoning to justify the claim that these objects exist. But I show that there are scientific contexts in which a non-probabilistic IBE-driven realism leads to a puzzle. Since IBE can be applied in scientific contexts in (...)
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  22. Imagination and Creativity.Dustin Stokes - 2016 - In Amy Kind (ed.), The Routledge Handbook of the Philosophy of Imagination. New York: Routledge.
    This paper surveys historical and recent philosophical discussions of the relations between imagination and creativity. In the first two sections, it covers two insufficiently studied analyses of the creative imagination, that of Kant and Sartre, respectively. The next section discusses imagination and its role in scientific discovery, with particular emphasis on the writings of Michael Polanyi, and on thought experiments and experimental design. The final section offers a brief discussion of some very recent work done on conceptual relations between (...)
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  23. Scientific Realism and the Pessimistic Meta-Modus Tollens.Timothy D. Lyons - 2010 - In S. Clarke & T. D. Lyons (eds.), Recent Themes in the Philosophy of Science: Scientific Realism and Commonsense. Dordrecht: Springer. pp. 63-90.
    Broadly speaking, the contemporary scientific realist is concerned to justify belief in what we might call theoretical truth, which includes truth based on ampliative inference and truth about unobservables. Many, if not most, contemporary realists say scientific realism should be treated as ‘an overarching scientific hypothesis’ (Putnam 1978, p. 18). In its most basic form, the realist hypothesis states that theories enjoying general predictive success are true. This hypothesis becomes a hypothesis to be tested. To justify (...)
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  24. Fictional characters.Stacie Friend - 2007 - Philosophy Compass 2 (2):141–156.
    If there are no fictional characters, how do we explain thought and discourse apparently about them? If there are, what are they like? A growing number of philosophers claim that fictional characters are abstract objects akin to novels or plots. They argue that postulating characters provides the most straightforward explanation of our literary practices as well as a uniform account of discourse and thought about fiction. Anti-realists counter that postulation is neither necessary nor straightforward, and that the invocation of pretense (...)
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  25. Induction and scientific realism: Einstein versus Van Fraassen part three: Einstein, aim-oriented empiricism and the discovery of special and general relativity.Nicholas Maxwell - 1993 - British Journal for the Philosophy of Science 44 (2):275-305.
    In this paper I show that Einstein made essential use of aim-oriented empiricism in scientific practice in developing special and general relativity. I conclude by considering to what extent Einstein came explicitly to advocate aim-oriented empiricism in his later years.
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  26.  99
    Fiction and Scientific Knowledge.Adam Toon - 2023 - In Alison James, Akihiro Kubo & Françoise Lavocat (eds.), The Routledge Handbook of Fiction and Belief. Routledge. pp. 115-125.
    What has fiction to do with science? At first glance, the two activities seem to have entirely different aims and products. Science aims at truth, while fiction can deviate wildly from it. Science produces theories, which we are asked to believe. Fiction produces stories, which we are asked to imagine. Given these differences, associating science and fiction might seem like a serious mistake, or even a threat to science. And yet many authors have tried to understand science by looking to (...)
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  27. Imagination in scientific modeling.Adam Toon - 2016 - In Amy Kind (ed.), The Routledge Handbook of the Philosophy of Imagination. New York: Routledge. pp. 451-462.
    Modeling is central to scientific inquiry. It also depends heavily upon the imagination. In modeling, scientists seem to turn their attention away from the complexity of the real world to imagine a realm of perfect spheres, frictionless planes and perfect rational agents. Modeling poses many questions. What are models? How do they relate to the real world? Recently, a number of philosophers have addressed these questions by focusing on the role of the imagination in modeling. Some have also drawn (...)
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  28. Models, Fiction and the Imagination.Arnon Levy - 2024 - In Tarja Knuuttila, Natalia Carrillo & Rami Koskinen (eds.), The Routledge Handbook of Philosophy of Scientific Modeling. New York, NY: Routledge.
    Science and fiction seem to lie at opposite ends of the cognitive-epistemic spectrum. The former is typically seen as the study of hard, real-world facts in a rigorous manner. The latter is treated as an instrument of play and recreation, dealing in figments of the imagination. Initial appearances notwithstanding, several central features of scientific modeling in fact suggest a close connection with the imagination and recent philosophers have developed detailed accounts of models that treat them, in one way or (...)
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  29. Scientific Realism, Adaptationism and the Problem of the Criterion.Fabio Sterpetti - 2015 - Kairos 13 (1):7-45.
    Scientific Realism (SR) has three crucial aspects: 1) the centrality of the concept of truth, 2) the idea that success is a reliable indicator of truth, and 3) the idea that the Inference to the Best Explanation is a reliable inference rule. It will be outlined how some realists try to overcome the difficulties which arise in justifying such crucial aspects relying on an adaptationist view of evolutionism, and why such attempts are inadequate. Finally, we will briefly sketch (...)
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  30. Dynamical versus structural explanations in scientific revolutions.Mauro Dorato - 2017 - Synthese 194 (7):2307-2327.
    By briefly reviewing three well-known scientific revolutions in fundamental physics (the discovery of inertia, of special relativity and of general relativity), I claim that problems that were supposed to be crying for a dynamical explanation in the old paradigm ended up receiving a structural explanation in the new one. This claim is meant to give more substance to Kuhn’s view that revolutions are accompanied by a shift in what needs to be explained, while suggesting at the same time the (...)
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  31. The Shadow of God in the Garden of the Philosopher. The Parc de La Villette in Paris in the context of philosophy of chôra. Part III.Cezary Wąs - 2019 - Quart. Kwartalnik Instytutu Historii Sztuki Uniwersytetu Wrocławskiego 2 (52):89-119.
    Tschumi believes that the quality of architecture depends on the theoretical factor it contains. Such a view led to the creation of architecture that would achieve visibility and comprehensibility only after its interpretation. On his way to creating such an architecture he took on a purely philosophical reflection on the basic building block of architecture, which is space. In 1975, he wrote an essay entitled Questions of Space, in which he included several dozen questions about the nature of space. The (...)
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  32. Scientific realism with historical essences: the case of species.Marion Godman - 2018 - Synthese 198 (Suppl 12):3041-3057.
    Natural kinds, real kinds, or, following J.S Mill simply, Kinds, are thought to be an important asset for scientific realists in the non-fundamental (or “special”) sciences. Essential natures are less in vogue. I show that the realist would do well to couple her Kinds with essential natures in order to strengthen their epistemic and ontological credentials. I argue that these essential natures need not however be intrinsic to the Kind’s members; they may be historical. I concentrate on assessing the (...)
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  33. The realist and selectionist explanations for the success of science.Seungbae Park - 2022 - Synthese 200 (3):1-12.
    According to realists, theories are successful because they are true, but according to selectionists, theories are successful because they have gone through a rigorous selection process. Wray claims that the realist and selectionist explanations are rivals to each other. Lee objects that they are instead complementary to each other. In my view, Lee’s objection presupposes that the realist explanation is true, and thus it begs the question against selectionists. By contrast, the selectionist explanation invokes a scientific theory, and thus (...)
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  34. Should Scientists Embrace Scientific Realism or Antirealism?Seungbae Park - 2019 - Philosophical Forum 50 (1):147-158.
    If scientists embrace scientific realism, they can use a scientific theory to explain and predict observables and unobservables. If, however, they embrace scientific antirealism, they cannot use a scientific theory to explain observables and unobservables, and cannot use a scientific theory to predict unobservables. Given that explanation and prediction are means to make scientific progress, scientists can make more scientific progress, if they embrace scientific realism than if they embrace (...) antirealism. (shrink)
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  35. Cornell Realism, Explanation, and Natural Properties.Luis R. G. Oliveira & Timothy Perrine - 2017 - European Journal of Philosophy 25 (2):1021-1038.
    The claim that ordinary ethical discourse is typically true and that ethical facts are typically knowable seems in tension with the claim that ordinary ethical discourse is about features of reality friendly to a scientific worldview. Cornell Realism attempts to dispel this tension by claiming that ordinary ethical discourse is, in fact, discourse about the same kinds of things that scientific discourse is about: natural properties. We offer two novel arguments in reply. First, we identify a key (...)
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  36. K. Brad Wray: Resisting Scientific Realism, Book Review. Cambridge University Press: Cambridge 2018. [REVIEW]Ragnar van der Merwe - 2020 - Journal for the General Philosophy of Science 51 (4):637-641.
    Book Review K. Brad Wray: Resisting Scientific Realism. Cambridge University Press: Cambridge 2018, xii + 224 pp, £ 75.00 (Hardcover), ISBN: 9781108231633. By Ragnar van der Merwe. In The Journal for the General Philosophy of Science.
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  37. Induction and scientific realism: Einstein versus Van Fraassen part one: How to solve the problem of induction.Nicholas Maxwell - 1993 - British Journal for the Philosophy of Science 44 (1):61-79.
    In this three-part paper, my concern is to expound and defend a conception of science, close to Einstein's, which I call aim-oriented empiricism. I argue that aim-oriented empiricsim has the following virtues. (i) It solve the problem of induction; (ii) it provides decisive reasons for rejecting van Fraassen's brilliantly defended but intuitively implausible constructive empiricism; (iii) it solves the problem of verisimilitude, the problem of explicating what it can mean to speak of scientific progress given that science advances from (...)
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  38. The No‐Miracles Argument for Realism: Inference to an Unacceptable Explanation.Greg Frost-Arnold - 2010 - Philosophy of Science 77 (1):35-58.
    I argue that a certain type of naturalist should not accept a prominent version of the no-miracles argument (NMA). First, scientists (usually) do not accept explanations whose explanans-statements neither generate novel predictions nor unify apparently disparate established claims. Second, scientific realism (as it appears in the NMA) is an explanans that makes no new predictions and fails to unify disparate established claims. Third, many proponents of the NMA explicitly adopt a naturalism that forbids philosophy of science from using (...)
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  39. Heuristics, Descriptions, and the Scope of Mechanistic Explanation.Carlos Zednik - 2015 - In Pierre-Alain Braillard & Christophe Malaterre (eds.), Explanation in Biology. An Enquiry into the Diversity of Explanatory Patterns in the Life Sciences. Dordrecht: Springer. pp. 295-318.
    The philosophical conception of mechanistic explanation is grounded on a limited number of canonical examples. These examples provide an overly narrow view of contemporary scientific practice, because they do not reflect the extent to which the heuristic strategies and descriptive practices that contribute to mechanistic explanation have evolved beyond the well-known methods of decomposition, localization, and pictorial representation. Recent examples from evolutionary robotics and network approaches to biology and neuroscience demonstrate the increasingly important role played by computer simulations and (...)
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  40. Cartesian Certainty, Realism and Scientific Inference.Manuel Barrantes - 2019 - In Jorge Secada & Cecilia Wee (eds.), The Cartesian Mind. Routledge.
    In the Principles of Philosophy, Descartes explains several observable phenomena showing that they are caused by special arrangements of unobservable microparticles. Despite these microparticles being unobservable, many passages suggest that he was very confident that these explanations were correct. In other passages, however, Descartes points out that these explanations merely hold the status of “suppositions” or “conjectures” that could be wrong. My main goal in this chapter is to clarify this apparent conflict. I argue first that for Descartes it was (...)
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  41. Epistemic selectivity, historical threats, and the non-epistemic tenets of scientific realism.Timothy D. Lyons - 2017 - Synthese 194 (9):3203-3219.
    The scientific realism debate has now reached an entirely new level of sophistication. Faced with increasingly focused challenges, epistemic scientific realists have appropriately revised their basic meta-hypothesis that successful scientific theories are approximately true: they have emphasized criteria that render realism far more selective and, so, plausible. As a framework for discussion, I use what I take to be the most influential current variant of selective epistemic realism, deployment realism. Toward the identification of (...)
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  42. Fictionalism, Realism, Empiricism on Scientific Models.Chuang Liu - 2014
    This paper defends an approach to modeling and models in science that is against model fictionalism of a recent stripe (the “new fictionalism” that takes models to be abstract entities that are analogous to works of fiction). It further argues that there is a version of fictionalism on models to which my approach is neutral and which only makes sense if one adopts a special sort of antirealism (e.g. constructive empiricism). Otherwise, my approach strongly suggests that one stays away from (...)
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  43. Realism Explanation and Truth in the Biological Sciences.Michael Alexander Ward - 1994 - Dissertation, University of Bradford
    The traditional emphasis on the physics of the very small is questioned, and the suggestion made that a crucial test of contributions to the philosophy of science ought to be their applicability to areas which are more representative of the scientific enterprise. Life science is cited as just such an area. It is quantum physics, rather than biology, which nurtures anti-realism. The most respected anti-realism today is that provided by Bas C van Fraassen; and the persuasiveness of (...)
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  44. Il sistema della ricchezza. Economia politica e problema del metodo in Adam Smith.Sergio Cremaschi - 1984 - Milano, Italy: Franco Angeli.
    Introduction. The book is a study in Adam Smith's system of ideas; its aim is to reconstruct the peculiar framework that Adam Smith’s work provided for the shaping of a semi-autonomous new discipline, political economy; the approach adopted lies somewhere in-between the history of ideas and the history of economic analysis. My two claims are: i) The Wealth of Nations has a twofold structure, including a `natural history' of opulence and an `imaginary machine' of wealth. The imaginary machine is a (...)
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  45. Ontological Order in Scientific Explanation.Seungbae Park - 2003 - Philosophical Papers 32 (2):157-170.
    A scientific theory is successful, according to Stanford (2000), because it is suficiently observationally similar to its corresponding true theory. The Ptolemaic theory, for example, is successful because it is sufficiently similar to the Copernican theory at the observational level. The suggestion meets the scientific realists' request to explain the success of science without committing to the (approximate) truth of successful scientific theories. I argue that Stanford's proposal has a conceptual flaw. A conceptually sound explanation, I claim, (...)
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  46. Tim’s Sexy Girl-Goddess and the Tale of the British Raisin.Bo C. Klintberg - 2008 - Philosophical Plays 1 (2):1-129.
    CATEGORY: Philosophy play; historical fiction; comedy; social criticism. -/- STORYLINE: Tim, a physics professor with a certain taste for young female university students, recently got a new appointment at a London university. But, as it turns out, he is still unsatisfied. Why? Is it because Rachael unexpectedly left him under strange circumstances? Or does it have to do with his sudden departure from another university? Or is it his research? When Tim meets Christianus for a brown-bag discussion on philosophy and (...)
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  47. The Unificatory Power of Scientific Realism.Seungbae Park - 2017 - Disputatio 9 (44):59–73.
    The no-miracles argument (Putnam, 1975) holds that science is successful because successful theories are (approximately) true. Frost-Arnold (2010) objects that this argument is unacceptable because it generates neither new predictions nor unifications. It is similar to the unacceptable explanation that opium puts people to sleep because it has a dormative virtue. I reply that on close examination, realism explains not only why some theories are successful but also why successful theories exist in current science. Therefore, it unifies the disparate (...)
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  48. Imagination Through Knowledge.Shannon Spaulding - 2016 - In Amy Kind & Peter Kung (eds.), Knowledge Through Imagination. Oxford, United Kingdom: Oxford University Press UK. pp. 207-226.
    Imagination seems to play an epistemic role in philosophical and scientific thought experiments, mindreading, and ordinary practical deliberations insofar as it generates new knowledge of contingent facts about the world. However, it also seems that imagination is limited to creative generation of ideas. Sometimes we imagine fanciful ideas that depart freely from reality. The conjunction of these claims is what I call the puzzle of knowledge through imagination. This chapter aims to resolve this puzzle. I argue that imagination has (...)
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  49. Ontic Structural Realism and Modality.Nora Berenstain & James Ladyman - 2012 - In Elaine Landry & Dean Rickles (eds.), Structural Realism: Structure, Object, and Causality. Springer.
    There is good reason to believe that scientific realism requires a commitment to the objective modal structure of the physical world. Causality, equilibrium, laws of nature, and probability all feature prominently in scientific theory and explanation, and each one is a modal notion. If we are committed to the content of our best scientific theories, we must accept the modal nature of the physical world. But what does the scientific realist’s commitment to physical modality require? (...)
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  50. Realism and the limits of explanatory reasoning.Juha Saatsi - 2017 - In The Routledge Handbook of Scientific Realism. New York: Routledge. pp. 200-211.
    This chapter examines issues surrounding inference to the best explanation, its justification, and its role in different arguments for scientific realism, as well as more general issues concerning explanations’ ontological commitments. Defending the reliability of inference to the best explanation has been a central plank in various realist arguments, and realists have drawn various ontological conclusions from the premise that a given scientific explanation best explains some phenomenon. This chapter stresses the importance of thinking carefully about the (...)
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