Ebook Info
- Published: 2019
- Number of pages: 416 pages
- Format: PDF
- File Size: 1.80 MB
- Authors: Jan Sprenger
Description
How should we reason in science? Jan Sprenger and Stephan Hartmann offer a refreshing take on classical topics in philosophy of science, using a single key concept to explain and to elucidate manifold aspects of scientific reasoning. They present good arguments and good inferences as beingcharacterized by their effect on our rational degrees of belief. Refuting the view that there is no place for subjective attitudes in ‘objective science’, Sprenger and Hartmann explain the value of convincing evidence in terms of a cycle of variations on the theme of representing rational degrees ofbelief by means of subjective probabilities (and changing them by Bayesian conditionalization). In doing so, they integrate Bayesian inference–the leading theory of rationality in social science–with the practice of 21st century science. Bayesian Philosophy of Science thereby shows how modelingsuch attitudes improves our understanding of causes, explanations, confirming evidence, and scientific models in general. It combines a scientifically minded and mathematically sophisticated approach with conceptual analysis and attention to methodological problems of modern science, especially instatistical inference, and is therefore a valuable resource for philosophers and scientific practitioners.
User’s Reviews
Editorial Reviews: Review “For anyone with a serious interest in formal methods in the philosophy of science, this book is essential reading.” — James Wilson, Metascience”Bayesian Philosophy of Science gradually raises and broaches important and fascinating questions concerning the status, foundations, and limits of Bayesianism and Bayesian inference. Reading the entirety of this rich and stimulating book, which is both accomplished and forward-looking, is thereforerewarding and highly recommended.” — Isabelle Drouet, OEconomia”Sprenger and Hartmann’s Bayesian Philosophy of Science promises to become the new reference manual for all things Bayesian in the philosophy of science…For anyone with a serious interest in formal methods in the philosophy of science, this book is essential reading.” — James Wilson,Metascience About the Author Jan Sprenger, Professor of Philosophy of ScienceUniversity of Turin,Stephan Hartmann, Professor of of Philosophy of ScienceLMU MunichJan Sprenger is Professor of Philosophy of Science at the University of Turin. After completing an undergraduate degree in mathematics, he obtained his PhD in Philosophy at the University of Bonn in 2008. He then took up a post at Tilburg University, first working as Assistant Professor (2008-13)and subsequently as Full Professor (2014-17). He also directed the Tilburg Center for Logic, Ethics and Philosophy of Science (TiLPS). Sprenger’s research and publications span a wide range of topics, mainly in philosophy of science and uncertain reasoning, but also in logic, group decision-making,and empirical work on human cognition.Stephan Hartmann is Professor of Philosophy of Science at at LMU Munich, Alexander von Humboldt Professor, and Co-Director of the Munich Center for Mathematical Philosophy (MCMP). Between 2007 and 2012 he worked at Tilburg University, where he was Chair in Epistemology and Philosophy of Science andDirector of the Tilburg Center for Logic and Philosophy of Science (TiLPS). Prior to this, he was Professor of Philosophy at the London School of Economics and Director of its Centre for Philosophy of Natural and Social Science. He was President of the European Philosophy of Science Association(2013-17) and President of the European Society for Analytic Philosophy (2014-17). Hartmann’s primary research and teaching areas are philosophy of science, philosophy of physics, formal epistemology, and social epistemology. His current interests also include the philosophy and psychology ofreasoning and argumentation.
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