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Probabilistic Logic in a Coherent Setting

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  • © 2002

Overview

Part of the book series: Trends in Logic (TREN, volume 15)

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Table of contents (21 chapters)

Keywords

About this book

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 coherence, 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.

Authors and Affiliations

  • University of Perugia, Italy

    Giulianella Coletii

  • University of Roma “La Sapienza”, Italy

    Romano Scozzafava

Bibliographic Information

  • Book Title: Probabilistic Logic in a Coherent Setting

  • Authors: Giulianella Coletii, Romano Scozzafava

  • Series Title: Trends in Logic

  • DOI: https://doi.org/10.1007/978-94-010-0474-9

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media Dordrecht 2002

  • Hardcover ISBN: 978-1-4020-0917-4Published: 31 October 2002

  • Softcover ISBN: 978-1-4020-0970-9Published: 31 October 2002

  • eBook ISBN: 978-94-010-0474-9Published: 06 December 2012

  • Series ISSN: 1572-6126

  • Series E-ISSN: 2212-7313

  • Edition Number: 1

  • Number of Pages: IV, 291

  • Topics: Logic, Mathematical Logic and Foundations, Artificial Intelligence, Probability Theory and Stochastic Processes

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