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  1. Varying the Explanatory Span: Scientific Explanation for Computer Simulations.Juan Manuel Durán - 2017 - International Studies in the Philosophy of Science 31 (1):27-45.
    This article aims to develop a new account of scientific explanation for computer simulations. To this end, two questions are answered: what is the explanatory relation for computer simulations? And what kind of epistemic gain should be expected? For several reasons tailored to the benefits and needs of computer simulations, these questions are better answered within the unificationist model of scientific explanation. Unlike previous efforts in the literature, I submit that the explanatory relation is between the simulation model and the (...)
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  • Non-factive Understanding: A Statement and Defense.Yannick Doyle, Spencer Egan, Noah Graham & Kareem Khalifa - 2019 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 50 (3):345-365.
    In epistemology and philosophy of science, there has been substantial debate about truth’s relation to understanding. “Non-factivists” hold that radical departures from the truth are not always barriers to understanding; “quasi-factivists” demur. The most discussed example concerns scientists’ use of idealizations in certain derivations of the ideal gas law from statistical mechanics. Yet, these discussions have suffered from confusions about the relevant science, as well as conceptual confusions. Addressing this example, we shall argue that the ideal gas law is best (...)
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  • The Role of Information in Evolutionary Biology.Thomas E. Dickins - 2023 - Acta Biotheoretica 71 (3).
    The Modern Synthesis has received criticism for its purported gene-centrism. That criticism relies on a concept of the gene as a unit of instructional information. In this paper I discuss information concepts and endorse one, developed from Floridi, that sees information as a functional relationship between data and context. I use this concept to inspect developmental criticisms of the Modern Synthesis and argue that the instructional gene arose as an idealization practice when evolutionary biologists made comment on development. However, a (...)
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  • Curiosity about Curiosity.Danilo Šuster - 2016 - Croatian Journal of Philosophy 16 (3):327-340.
    Ilhan Inan’s (2012) approach to curiosity is based on the following central theses: (i) for every question asked out of curiosity there is a corresponding term (definite description) that is inostensible for the asker (its reference is unknown) and that has the function of uniquely identifying an object; (ii) the satisfaction of curiosity is always in the form of com- ing to know an object as falling under a concept. This model primarily covers curiosity as our search for empirical objectual (...)
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  • Can Probabilistic Coherence be a Measure of Understanding?Victor Gijsbers - 2015 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 30 (1):53-71.
    Coherence is a measure of how much our beliefs hang together. Understanding is achieved when we see that something is not just a brute, isolated fact. This suggests that it might be possible to use the extant probabilistic measures of coherence to formulate a measure of understanding. We attempt to do so, but it turns out that a coherence theory runs into trouble with the asymmetry of understanding. We identify four difficulties and show how they have been solved by a (...)
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  • Understanding the Progress of Science.C. D. McCoy - 2023 - In Kareem Khalifa, Insa Lawler & Elay Shech (eds.), Scientific Understanding and Representation: Modeling in the Physical Sciences. Routledge. pp. 353-369.
    Philosophical debates on how to account for the progress of science have traditionally divided along the realism-anti-realism axis. Relatively recent developments in epistemology, however, have opened up a new knowledge-understanding axis to the debate. This chapter presents a novel understanding-based account of scientific progress that takes its motivation from problem-solving practices in science. Problem-solving is characterized as a means of measuring degree of understanding, which is argued to be the principal epistemic (or cognitive) aim of science, over and against knowledge. (...)
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  • The Concept of Testimony.Nicola Mößner - 2011 - In Christoph Jäger & Winfried Löffler (eds.), Epistemology: Contexts, Values, Disagreement, Papers of the 34. International Wittgenstein Symposium. Austrian Ludwig Wittgenstein Society. pp. 207-209.
    Many contributors of the debate about knowledge by testimony concentrate on the problem of justification. In my paper I will stress a different point – the concept of testimony itself. As a starting point I will use the definitional proposal of Jennifer Lackey. She holds that the concept of testimony should be regarded as entailing two aspects – one corresponding to the speaker, the other one to the hearer. I will adopt the assumption that we need to deal with both (...)
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  • Just Following the Rules: Collapse / Incoherence Problems in Ethics, Epistemology, and Argumentation Theory.Patrick Bondy - 2020 - In J. Anthony Blair & Christopher Tindale (eds.), Rigour and Reason: Essays in Honour of Hans Vilhelm Hansen. Windsor, ON, Canada: pp. 172-202.
    This essay addresses the collapse/incoherence problem for normative frameworks that contain both fundamental values and rules for promoting those values. The problem is that in some cases, we would bring about more of the fundamental value by violating the framework’s rules than by following them. In such cases, if the framework requires us to follow the rules anyway, then it appears to be incoherent; but if it allows us to make exceptions to the rules, then the framework “collapses” into one (...)
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  • The Thought Experimenting Qualities of Kierkegaard's Fear and Trembling.Ingrid Malm Lindberg - 2019 - Religions 10 (6).
    In this article, I examine the possible thought experimenting qualities of Soren Kierkegaard's novel Fear and Trembling and in which way it can be explanatory. Kierkegaard's preference for pseudonyms, indirect communication, Socratic interrogation, and performativity are identified as features that provide the narrative with its thought experimenting quality. It is also proposed that this literary fiction functions as a Socratic-theological thought experiment due to its influences from both philosophy and theology. In addition, I suggest three functional levels of the fictional (...)
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  • Sulla concezione noetica del progresso scientifico.Fabio Sterpetti - 2017 - Paradigmi. Rivista di Critica Filosofica 35 (3):135-155.
    Le principali concezioni del progresso scientifico sono tre: la concezione epistemica, secondo cui il progresso si verifica quando si verifica un incremento della conoscenza; la concezione semantica, secondo cui il progresso si verifica quando vi è un incremento delle verità; la concezione problem-solving, secondo cui il progresso si verifica quando si verifica un incremento del numero dei problemi che si è in grado di risolvere. La concezione epistemica è ritenuta la più compatibile con una prospettiva realista. Di recente, Dellsén ha (...)
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  • Explaining simulated phenomena. A defense of the epistemic power of computer simulations.Juan M. Durán - 2013 - Dissertation, University of Stuttgart
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  • Reductionism about understanding why.Insa Lawler - 2016 - Proceedings of the Aristotelian Society 116 (2):229-236.
    Paulina Sliwa (2015) argues that knowing why p is necessary and sufficient for understanding why p. She tries to rebut recent attacks against the necessity and sufficiency claims, and explains the gradability of understanding why in terms of knowledge. I argue that her attempts do not succeed, but I indicate more promising ways to defend reductionism about understanding why throughout the discussion.
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  • How Idealizations Provide Understanding.Michael Strevens - forthcoming - In Stephen Grimm, Christoph Baumberger & Sabine Ammon (eds.), Explaining Understanding: New Essays in Epistemology and the Philosophy of Science. Routledge.
    How can a model that stops short of representing the whole truth about the causal production of a phenomenon help us to understand the phenomenon? I answer this question from the perspective of what I call the simple view of understanding, on which to understand a phenomenon is to grasp a correct explanation of the phenomenon. Idealizations, I have argued in previous work, flag factors that are casually relevant but explanatorily irrelevant to the phenomena to be explained. Though useful to (...)
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