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dc.contributor.authorWilliamson, Jonen_US
dc.date.accessioned2018-04-09T07:31:48Z
dc.date.available2018-04-09T07:31:48Z
dc.date.issued2017en_US
dc.identifier.isbn9780199666478en_US
dc.identifier.otherHPU2162209en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/30198
dc.description.abstractLogic is a field studied mainly by researchers and students of philosophy, mathematics and computing. Inductive logic seeks to determine the extent to which the premisses of an argument entail its conclusion, aiming to provide a theory of how one should reason in the face of uncertainty. It has applications to decision making and artificial intelligence, as well as how scientists should reason when not in possession of the full facts. In this book, Jon Williamson embarks on a quest to find a general, reasonable, applicable inductive logic (GRAIL), all the while examining why pioneers such as Ludwig Wittgenstein and Rudolf Carnap did not entirely succeed in this task. Along the way he presents a general framework for the field, and reaches a new inductive logic, which builds upon recent developments in Bayesian epistemology (a theory about how strongly one should believe the various propositions that one can express). The book explores this logic in detail, discusses some key criticisms, and considers how it might be justified. Is this truly the GRAIL? Although the book presents new research, this material is well suited to being delivered as a series of lectures to students of philosophy, mathematics, or computing and doubles as an introduction to the field of inductive logicen_US
dc.format.extent217p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.subjectHistoryen_US
dc.subjectMathematicsen_US
dc.subjectScienceen_US
dc.subjectLogicen_US
dc.titleLectures on Inductive Logicen_US
dc.typeBooken_US
dc.size2.12 MBen_US
dc.departmentSociologyen_US


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