TY - BOOK AU - Atkinson,David AU - Peijnenburg,Jeanne ED - SpringerLink (Online service) TI - Fading Foundations: Probability and the Regress Problem T2 - Synthese Library, Studies in Epistemology, Logic, Methodology, and Philosophy of Science, SN - 9783319582955 U1 - 120 23 PY - 2017/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Knowledge, Theory of KW - Mathematical logic KW - StatisticsĀ  KW - Physics-Philosophy KW - Operations research KW - Epistemology KW - Mathematical Logic and Foundations KW - Statistical Theory and Methods KW - Philosophical Foundations of Physics and Astronomy KW - Operations Research and Decision Theory N1 - 1. The Regress Problem -- 2. Epistemic Justification -- 3. The Probabilistic Regress -- 4. Fading Foundations and the Emergence of Justification -- 5 Finite Minds -- 6. Conceptual Objections -- 7. Higher-Order Probabilities -- 8. Loops and Networks; Open Access N2 - 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 UR - https://doi.org/10.1007/978-3-319-58295-5 ER -