9781402009709 - probabilistic logic in a coherent setting (trends in logic) (trends in logic, 15, band 15) von coletti, giulianella (4 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2002
- Softcover
Anbieter: LiLi - La Liberté des Livres, CANEJAN, FrankreichLiLi - La Liberté des Livres
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Zustand: very good. Le livre peut montrer des signes d'usure dus a une utilisation constante, etre marque, porter des marques d'identification ou presenter plusieurs dommages esthetiques mineurs. vendeur professionnel; envoi soigne en 24/48h.
Sprache: Englisch
Verlag: Springer, 2002
- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 116,53
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Zustand: New. In.
Sprache: Englisch
Verlag: Kluwer Academic Publishers, 2002
- Softcover
Anbieter: Kennys Bookstore, Olney, MD, USAKennys Bookstore
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EUR 177,61
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Zustand: New. Characterizing probability as a linear operator rather than as a measure, this book is based on the concept of coherence, which can be framed in the most general view of conditional probability. It is useful for the readers familiar with the elementary aspects of propositional calculus, linear algebra, and analysis…. Series: Trends in Logic. Num Pages: 295 pages, biography. BIC Classification: PBCD; UYA. Category: (UU) Undergraduate. Dimension: 240 x 160 x 15. Weight in Grams: 920. . 2002. Softcover reprint of the original 1st ed. 2002. Paperback. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Springer, Springer, 2002
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 125,24
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The approach to probability theory followed in this book (which differs radically from the usual one, based on a measure-theoretic framework) characterizes probability as a linear operator rather than as a measure, and is based on the concept of cohe…rence, which can be framed in the most general view of conditional probability. It is a `flexible' and unifying tool suited for handling, e.g., partial probability assessments (not requiring that the set of all possible `outcomes' be endowed with a previously given algebraic structure, such as a Boolean algebra), and conditional independence, in a way that avoids all the inconsistencies related to logical dependence (so that a theory referring to graphical models more general than those usually considered in bayesian networks can be derived). Moreover, it is possible to encompass other approaches to uncertain reasoning, such as fuzziness, possibility functions, and default reasoning. The book is kept self-contained, provided the reader is familiar with the elementary aspects of propositional calculus, linear algebra, and analysis.
