Results for 'Radin Dardashti'

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Radin Dardashti
Ludwig Maximilians Universität, München
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  1.  26
    Assessing Scientific Theories: The Bayesian Approach.Stephan Hartmann & Radin Dardashti - 2019 - In Radin Dardashti, Richard Dawid & Karim Thebault (eds.), Why Trust a Theory? Cambridge, Vereinigtes Königreich: pp. 67–83.
    Scientific theories are used for a variety of purposes. For example, physical theories such as classical mechanics and electrodynamics have important applications in engineering and technology, and we trust that this results in useful machines, stable bridges, and the like. Similarly, theories such as quantum mechanics and relativity theory have many applications as well. Beyond that, these theories provide us with an understanding of the world and address fundamental questions about space, time, and matter. Here we trust that the answers (...)
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  2. Unsharp Humean Chances in Statistical Physics: A Reply to Beisbart.Luke Glynn, Radin Dardashti, Karim P. Y. Thebault & Mathias Frisch - 2014 - In M. C. Galavotti (ed.), New Directions in the Philosophy of Science. Springer. pp. 531-542.
    In an illuminating article, Claus Beisbart argues that the recently-popular thesis that the probabilities of statistical mechanics (SM) are Best System chances runs into a serious obstacle: there is no one axiomatization of SM that is robustly best, as judged by the theoretical virtues of simplicity, strength, and fit. Beisbart takes this 'no clear winner' result to imply that the probabilities yielded by the competing axiomatizations simply fail to count as Best System chances. In this reply, we express sympathy for (...)
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