The approach to probability theory followed in this book which differsradically from the usual one based on a measuretheoretic frameworkcharacterizes probabilit... » 

The approach to probability theory followed in this book which differsradically from the usual one based on a measuretheoretic frameworkcharacterizes probability as a linear operator rather than as a measure and isbased on the concept of coherence which can be framed in the most general viewof conditional probability. It is a flexible and unifying tool suited forhandling e.g. partial probability assessments not requiring that the set ofall possible outcomes be endowed with a previously given algebraic structuresuch as a Boolean algebra and conditional independence in a way that avoidsall the inconsistencies related to logical dependence so that a theoryreferring to graphical models more general than those usually considered inbayesian networks can be derived. Moreover it is possible to encompass otherapproaches to uncertain reasoning such as fuzziness possibility functionsand default reasoning. BRThe book is kept selfcontained provided the readeris familiar with the elementary aspects of propositional calculus linearalgebra and analysis. «