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  1. Tractarian Form as the Precursor to Forms of Life.Chon Tejedor - 2015 - Nordic Wittgenstein Review 4:83-109.
    Interpreters are divided on the question of whether the phrase ‘form of life’ is used univocally in Wittgenstein’s later writings. Some univocal interpreters suggest that, for Wittgenstein, ‘form of life’ captures a uniquely biological notion: the biologically human form of life. Others suggest that it captures a cultural notion: the notion of differently enculturated forms of human life. Non-univocal interpreters, in contrast, argue that Wittgenstein does not use ‘form of life’ univocally, but that he uses it sometimes to highlight a (...)
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  • Who’s Where?John A. Scott - 2012 - Environment, Space, Place 4 (2):7-24.
    Central to several current philosophical projects is determining which conversational conventions will best locate and accommodate all the required participants. This article follows Troy Paddock’s lead in exploring a number of conventions currently on offer, particularly Heidegger’s aesthetic nearness-to-hand and Latour’s scientific Actor-Network-Theory. This article also introduces Donald Davidson’s social triangulation as a complementary model of approach: one thatimplicates propositional agents in potentially revealing relations. It concludes that a close study of implicational, as distinct from inferential, argument and judgment may (...)
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  • Wittgensteinov obrat od modela k modeliranju.Kristijan Krkač & Josip Lukin - 2022 - Disputatio Philosophica 23 (1):3-21.
    U tekstu izlažemo rješenje razlike između Wittgensteinove uporabe modela u TLP i modeliranja u PI, RFM i OC temeljem analize razlike u izboru samih riječi i opisa pojmova fenomena u njegovim napomenama. Metoda je pojmovna analiza Wittgensteinova tretiranja znanstvenih modela i modeliranja. Dodatno, tekstualna raščlamba i poredba korištena je pri istraživanju njegovih glavnih napomena na tu temu. Ako je otkrivena razlika između modela i modeliranja i kontinuitet ovisnosti oba pojma o pojmu slike, pri čemu je razlika slike i oslikavanja uzeta (...)
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  • Rethinking fideism through the lens of Wittgenstein’s engineering outlook.Brad J. Kallenberg - 2012 - International Journal for Philosophy of Religion 71 (1):55-73.
    Careful readers of Wittgenstein tend to overlook the significance his engineering education had for his philosophy; this despite Georg von Wright’s stern admonition that “the two most important facts to remember about Wittgenstein were, firstly, that he was Viennese, and, secondly, that he was an engineer.” Such oversight is particularly tempting for those of us who come to philosophy late, having first been schooled in math and science, because our education tricks us into thinking we understand engineering by extension. But (...)
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  • How simulations fail.Patrick Grim, Robert Rosenberger, Adam Rosenfeld, Brian Anderson & Robb E. Eason - 2011 - Synthese 190 (12):2367-2390.
    ‘The problem with simulations is that they are doomed to succeed.’ So runs a common criticism of simulations—that they can be used to ‘prove’ anything and are thus of little or no scientific value. While this particular objection represents a minority view, especially among those who work with simulations in a scientific context, it raises a difficult question: what standards should we use to differentiate a simulation that fails from one that succeeds? In this paper we build on a structural (...)
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  • Technology Games: Using Wittgenstein for Understanding and Evaluating Technology.Mark Coeckelbergh - 2018 - Science and Engineering Ethics 24 (5):1503-1519.
    In the philosophy of technology after the empirical turn, little attention has been paid to language and its relation to technology. In this programmatic and explorative paper, it is proposed to use the later Wittgenstein, not only to pay more attention to language use in philosophy of technology, but also to rethink technology itself—at least technology in its aspect of tool, technology-in-use. This is done by outlining a working account of Wittgenstein’s view of language and by then applying that account (...)
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  • Switching gestalts on gestalt psychology: On the relation between science and philosophy.Jordi Cat - 2007 - Perspectives on Science 15 (2):131-177.
    : The distinction between science and philosophy plays a central role in methodological, programmatic and institutional debates. Discussions of disciplinary identities typically focus on boundaries or else on genealogies, yielding models of demarcation and models of dynamics. Considerations of a discipline's self-image, often based on history, often plays an important role in the values, projects and practices of its members. Recent focus on the dynamics of scientific change supplements Kuhnian neat model with a role for philosophy and yields a model (...)
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  • Pictures, models, and measures.S. G. Sterrett - 2017 - Belgrade Philosophical Annual 30:99-137.
    In this paper, I enrich the context of Wittgenstein's Tractatus given over a decade ago in my book Witttgenstein Flies A Kite (and related earlier works dating from 2000). I've since located a sketch reprinted from a 1914 Paris magazine showing a lawyer using a model bus and dolls to depict a traffic accident; I present it here along with a discussion of the modelmaker movement of that time. The modelmaker movement was a movement at the intersection of popular culture (...)
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  • Dimensional Analysis: Essays on the Metaphysics and Epistemology of Quantities.Mahmoud Jalloh - 2023 - Dissertation, University of Southern California
    This dissertation draws upon historical studies of scientific practice and contemporary issues in the metaphysics and epistemology of science to account for the nature of physical quantities. My dissertation applies this integrated HPS approach to dimensional analysis—a logic for quantitative physical equations which respects the distinct dimensions of quantities (e.g. mass, length, charge). Dimensional analysis and its historical development serve both as subjects of study and as a sources for solutions to contemporary problems. The dissertation consists primarily of three related (...)
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  • The Π-Theorem as a Guide to Quantity Symmetries and the Argument Against Absolutism.Mahmoud Jalloh - forthcoming - In Karen Bennett & Dean W. Zimmerman (eds.), Oxford Studies in Metaphysics. Oxford: Oxford University Press.
    In this paper a symmetry argument against quantity absolutism is amended. Rather than arguing against the fundamentality of intrinsic quantities on the basis of transformations of basic quantities, a class of symmetries defined by the Π-theorem is used. This theorem is a fundamental result of dimensional analysis and shows that all unit-invariant equations which adequately represent physical systems can be put into the form of a function of dimensionless quantities. Quantity transformations that leave those dimensionless quantities invariant are empirical and (...)
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  • Ludwig Wittgenstein.Anat Biletzki & Anat Matar - 2008 - Stanford Encyclopedia of Philosophy.
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  • Ludwig Wittgenstein.B. Anat & M. Anat - forthcoming - Stanford Encyclopedia of Philosophy.
     
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  • Abstracting matter.Susan Sterrett - unknown
    . Some disagreements have arisen in the last few years regarding the role played by material properties when modeling, simulating and experimenting on physical systems (Morrison 2008, Parker (forthcoming), Winsberg (forthcoming), Guala 2002, 2005; Morgan 2005). The question has proven more involved than it first appears. A number of significant and correct points have already been made, but some confusions remain. In this paper I attempt to sort them out. After pointing out the importance of some distinctions that need to (...)
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  • Modeling Information.Patrick Grim - 2016 - In Luciano Floridi (ed.), Routledge Handbook of Philosophy of Information. Routledge. pp. 137-152.
    The topics of modeling and information come together in at least two ways. Computational modeling and simulation play an increasingly important role in science, across disciplines from mathematics through physics to economics and political science. The philosophical questions at issue are questions as to what modeling and simulation are adding, altering, or amplifying in terms of scientific information. What changes with regard to information acquisition, theoretical development, or empirical confirmation with contemporary tools of computational modeling? In this sense the title (...)
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