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  1. Visualizing Scientific Inference.David C. Gooding - 2010 - Topics in Cognitive Science 2 (1):15-35.
    The sciences use a wide range of visual devices, practices, and imaging technologies. This diversity points to an important repertoire of visual methods that scientists use to adapt representations to meet the varied demands that their work places on cognitive processes. This paper identifies key features of the use of visualization in a range of scientific domains and considers the implications of this repertoire for understanding scientists as cognitive agents.
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  • Theory change as dimensional change: conceptual spaces applied to the dynamics of empirical theories.Peter Gärdenfors & Frank Zenker - 2013 - Synthese 190 (6):1039-1058.
    This paper offers a novel way of reconstructing conceptual change in empirical theories. Changes occur in terms of the structure of the dimensions—that is to say, the conceptual spaces—underlying the conceptual framework within which a given theory is formulated. Five types of changes are identified: (1) addition or deletion of special laws, (2) change in scale or metric, (3) change in the importance of dimensions, (4) change in the separability of dimensions, and (5) addition or deletion of dimensions. Given this (...)
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  • Concepts as Tools in the Experimental Generation of Knowledge in Cognitive Neuropsychology.Uljana Feest - 2010 - Spontaneous Generations 4 (1):173-190.
    This paper asks (a) how new scientific objects of research are onceptualized at a point in time when little is known about them, and (b) how those conceptualizations, in turn, figure in the process of investigating the phenomena in question. Contrasting my approach with existing notions of concepts and situating it in relation to existing discussions about the epistemology of experimentation, I propose to think of concepts as research tools. I elaborate on the conception of a tool that informs my (...)
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  • Designing visual languages for description logics.Brian R. Gaines - 2009 - Journal of Logic, Language and Information 18 (2):217-250.
    Semantic networks were developed in cognitive science and artificial intelligence studies as graphical knowledge representation and inference tools emulating human thought processes. Formal analysis of the representation and inference capabilities of the networks modeled them as subsets of standard first-order logic (FOL), restricted in the operations allowed in order to ensure the tractability that seemed to characterize human reasoning capabilities. The graphical network representations were modeled as providing a visual language for the logic. Sub-sets of FOL targeted on knowledge representation (...)
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  • Isaac Asimov’s sci-fi novella “Profession” versus professionalism: Reflections on the (missing) scientific revolutions in the 21th century.Vasil Penchev - 2024 - Philosophy of Science eJournal (Elsevier: SSRN) 17 (42):1-38.
    This is a partly provocative essay edited as a humanitarian study in philosophy of science and social philosophy. The starting point is Isaac Asimov’s famous sci-fi novella “Profession” (1957) to be “back” extrapolated to today’s relation between Thomas Kuhn’s “normal science” and “scientific revolutions” (1962). The latter should be accomplished by Asimov’s main personage George Platen’s ilk (called “feeble minded” in the novella) versus the “burned minded” professionals able only to “normal science”. Francis Fukuyama’s “end of history” in post-Hegelian manner (...)
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  • Scientific revolutions, specialization and the discovery of the structure of DNA: toward a new picture of the development of the sciences.Politi Vincenzo - 2018 - Synthese 195 (5):2267-2293.
    In his late years, Thomas Kuhn became interested in the process of scientific specialization, which does not seem to possess the destructive element that is characteristic of scientific revolutions. It therefore makes sense to investigate whether and how Kuhn’s insights about specialization are consistent with, and actually fit, his model of scientific progress through revolutions. In this paper, I argue that the transition toward a new specialty corresponds to a revolutionary change for the group of scientists involved in such a (...)
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  • What’s in It for the Historian of Science? Reflections on the Value of Philosophy of Science for History of Science.Theodore Arabatzis - 2017 - International Studies in the Philosophy of Science 31 (1):69-82.
    In this article, I explore the value of philosophy of science for history of science. I start by introducing a distinction between two ways of integrating history and philosophy of science: historical philosophy of science and philosophical history of science. I then offer a critical discussion of Imre Lakatos’s project to bring philosophy of science to bear on historical interpretation. I point out certain flaws in Lakatos’s project, which I consider indicative of what went wrong with PHS in the past. (...)
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  • Genidentity and Biological Processes.Thomas Pradeu - 2018 - In Daniel J. Nicholson & John Dupré (eds.), Everything Flows: Towards a Processual Philosophy of Biology. Oxford, United Kingdom: Oxford University Press.
    A crucial question for a process view of life is how to identify a process and how to follow it through time. The genidentity view can contribute decisively to this project. It says that the identity through time of an entity X is given by a well-identified series of continuous states of affairs. Genidentity helps address the problem of diachronic identity in the living world. This chapter describes the centrality of the concept of genidentity for David Hull and proposes an (...)
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  • Scientific Prediction in the Beginning of the “Historical Turn”: Stephen Toulmin and Thomas Kuhn.Wenceslao J. Gonzalez - 2013 - Open Journal of Philosophy 3 (2):351-357.
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  • From Features via Frames to Spaces: Modeling Scientific Conceptual Change Without Incommensurability or Aprioricity.Frank Zenker - 2014 - In T. Gamerschlag, R. Gerland, R. Osswald & W. Petersen (eds.), Frames and Concept Types: Applications in Language and Philosophy. pp. 69-89.
    The frame model, originating in artificial intelligence and cognitive psychology, has recently been applied to change-phenomena traditionally studied within history and philosophy of science. Its application purpose is to account for episodes of conceptual dynamics in the empirical sciences suggestive of incommensurability as evidenced by “ruptures” in the symbolic forms of historically successive empirical theories with similar classes of applications. This article reviews the frame model and traces its development from the feature list model. Drawing on extant literature, examples of (...)
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  • Las tensiones de la estructura de las revoluciones científicas y el legado de Thomas Kuhn.Leonardo Díaz - 2011 - Endoxa 27:251.
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  • Scientific Controversies and the Ethics of Arguing and Belief in the Face of Rational Disagreement.Xavier de Donato Rodríguez & Jesús Zamora Bonilla - 2014 - Argumentation 28 (1):39-65.
    Our main aim is to discuss the topic of scientific controversies in the context of a recent issue that has been the centre of attention of many epistemologists though not of argumentation theorists or philosophers of science, namely the ethics of belief in face of rational disagreement. We think that the consideration of scientific examples may be of help in the epistemological debate on rational disagreement, making clear some of the deficiencies of the discussion as it has been produced until (...)
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