Probabilistic Logic in a Coherent Setting (Hardcover, 2002 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Trends in Logic, 15
Release date:	October 2002
First published:	2002
Authors:	Giulianella Coletti • R. Scozzafava
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Hardcover
Pages:	291
Edition:	2002 ed.
ISBN-13:	978-1-4020-0917-4
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Mathematical foundations > Mathematical logic
LSN:	1-4020-0917-8
Barcode:	9781402009174

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