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Titlebook: Belief, Evidence, and Uncertainty; Problems of Epistemi Prasanta S. Bandyopadhyay,Gordon Brittan Jr.,Mark Book 2016 The Author(s) 2016 Bay

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期刊全称Belief, Evidence, and Uncertainty
期刊简称Problems of Epistemi
影响因子2023Prasanta S. Bandyopadhyay,Gordon Brittan Jr.,Mark
视频video
发行地址Breaks new ground in building personal and scientific epistemology using the principles of belief, confirmation, and evidence.Makes precise a distinction between the concepts of confirmation and evide
学科分类SpringerBriefs in Philosophy
图书封面Titlebook: Belief, Evidence, and Uncertainty; Problems of Epistemi Prasanta S. Bandyopadhyay,Gordon Brittan Jr.,Mark  Book 2016 The Author(s) 2016 Bay
影响因子This work breaks new ground by carefully distinguishing the concepts of belief, confirmation, and evidence and then integrating them into a better understanding of personal and scientific epistemologies. It outlines a probabilistic framework in which subjective features of personal knowledge and objective features of public knowledge have their true place. It also discusses the bearings of some statistical theorems on both formal and traditional epistemologies while showing how some of the existing paradoxes in both can be resolved with the help of this framework..This book has two central aims: First, to make precise a distinction between the concepts of confirmation and evidence and to argue that failure to recognize this distinction is the source of certain otherwise intractable epistemological problems. The second goal is to demonstrate to philosophers the fundamental importance of statistical and probabilistic methods, at stake in the uncertain conditions in which for the most part we lead our lives, not simply to inferential practice in science, where they are now standard, but to epistemic inference in other contexts as well. Although the argument is rigorous, it is also acc
Pindex Book 2016
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Wirtschaften des Industriebetriebs,s a way of handling the apparent circularity in his account. We discuss and dissolve his well-known charge against Bayesian theories of confirmation, that they lead to the paradox of “old evidence,” in Chap. ..
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Initial Difficulties Dispelledrning our analyses of both confirmation and evidence; the second has to do more narrowly with the application of Bayesian methods. Each suggests a different way in which our intentions in this monograph might be misunderstood.
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Selective Confirmation, Bootstrapping, and Theoretical Constantss a way of handling the apparent circularity in his account. We discuss and dissolve his well-known charge against Bayesian theories of confirmation, that they lead to the paradox of “old evidence,” in Chap. ..
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