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  1. 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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  • Do ML models represent their targets?Emily Sullivan - forthcoming - Philosophy of Science.
    I argue that ML models used in science function as highly idealized toy models. If we treat ML models as a type of highly idealized toy model, then we can deploy standard representational and epistemic strategies from the toy model literature to explain why ML models can still provide epistemic success despite their lack of similarity to their targets.
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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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