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        Fading Foundations

        Probability and the Regress Problem

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        Author(s)
        Atkinson, David
        Peijnenburg, Jeanne
        Language
        English
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        Abstract
        This book is open access under a CC BY 4.0 license. This book addresses the age-old problem of infinite regresses in epistemology. How can we ever come to know something if knowing requires having good reasons, and reasons can only be good if they are backed by good reasons in turn? The problem has puzzled philosophers ever since antiquity, giving rise to what is often called Agrippa's Trilemma. The current volume approaches the old problem in a provocative and thoroughly contemporary way. Taking seriously the idea that good reasons are typically probabilistic in character, it develops and defends a new solution that challenges venerable philosophical intuitions and explains why they were mistakenly held. Key to the new solution is the phenomenon of fading foundations, according to which distant reasons are less important than those that are nearby. The phenomenon takes the sting out of Agrippa's Trilemma; moreover, since the theory that describes it is general and abstract, it is readily applicable outside epistemology, notably to debates on infinite regresses in metaphysics. The book is a potential game-changer and a must for any advanced student or researcher in the field.
        URI
        https://library.oapen.org/handle/20.500.12657/41728
        Keywords
        Epistemology; Mathematical Logic and Foundations; Statistical Theory and Methods; History and Philosophical Foundations of Physics; Operations Research/Decision Theory; Philosophical Foundations of Physics and Astronomy; Operations Research and Decision Theory; Epistemic Justification; Infinite Regress; Regresses in Epistemology; Regresses in Ethics; Regresses in Metaphysics; Regresses in Philosophy of Mind; Open Access; Philosophy: epistemology & theory of knowledge; Mathematical foundations; Mathematical logic; Probability & statistics; History of science; Operational research; Management decision making
        DOI
        10.1007/978-3-319-58295-5
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        2017
        Imprint
        Springer
        Series
        Synthese Library, 383
        Classification
        Philosophy: epistemology and theory of knowledge
        Mathematical foundations
        Probability and statistics
        History of science
        Operational research
        Pages
        238
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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