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Probabilistic Logic in a Coherent Setting

BuchKartoniert, Paperback
291 Seiten
Englisch
Springer Netherlandserschienen am31.10.2002
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.mehr
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Produkt

KlappentextThe 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.
Details
ISBN/GTIN978-1-4020-0970-9
ProduktartBuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2002
Erscheinungsdatum31.10.2002
ReiheTrends in Logic
Seiten291 Seiten
SpracheEnglisch
Gewicht417 g
IllustrationenIV, 291 p.
Artikel-Nr.10529687

Inhalt/Kritik

Inhaltsverzeichnis
1 Introduction.- 1.1 Aims and motivation.- 1.2 A brief historical perspective.- 2 Events as Propositions.- 2.1 Basic concepts.- 2.2 From belief to logic?.- 2.3 Operations.- 2.4 Atoms (or possible worlds ).- 2.5 Toward probability.- 3 Finitely Additive Probability.- 3.1 Axioms.- 3.2 Sets (of events) without structure.- 3.3 Null probabilities.- 4 Coherent probability.- 4.1 Coherence.- 4.2 Null probabilities (again).- 5 Betting Interpretation of Coherence.- 6 Coherent Extensions of Probability Assessments.- 6.1 de Finetti's fundamental theorem.- 6.2 Probabilistic logic and inference.- 7 Random Quantities.- 8 Probability Meaning and Assessment: a Reconciliation.- 8.1 The subjective view.- 8.2 Methods of evaluation.- 9 To Be or not To Be Compositional?.- 10 Conditional Events.- 10.1 Truth values.- 10.2 Operations.- 10.3 Toward conditional probability.- 11 Coherent Conditional Probability.- 11.1 Axioms.- 11.2 Assumed or acquired conditioning?.- 11.3 Coherence.- 11.4 Characterization of a coherent conditional probability.- 11.5 Related results.- 11.6 The role of probabilities 0 and 1.- 12 Zero-Layers.- 12.1 Zero-layers induced by a coherent conditional probability.- 12.2 Spohn's ranking function.- 12.3 Discussion.- 13 Coherent Extensions of Conditional Probability.- 14 Exploiting Zero Probabilities.- 14.1 The algorithm.- 14.2 Locally strong coherence.- 15 Lower and Upper Conditional Probabilities.- 15.1 Coherence intervals.- 15.2 Lower conditional probability.- 15.3 Dempster's theory.- 16 Inference.- 16.1 The general problem.- 16.2 The procedure at work.- 16.3 Discussion.- 16.4 Updating probabilities 0 and 1.- 17 Stochastic Independence in a Coherent Setting.- 17.1 Precise probabilities.- 17.2 Imprecise probabilities.- 17.3 Discussion.- 17.4Concluding remarks.- 18 A Random Walk in the Midst of Paradigmatic Examples.- 18.1 Finite additivity.- 18.2 Stochastic independence.- 18.3 A not coherent Radon-Nikodym conditional probability.- 18.4 A changing world .- 18.5 Frequency vs. probability.- 18.6 Acquired or assumed (again).- 18.7 Choosing the conditioning event.- 18.8 Simpson´s paradox.- 18.9 Belief functions.- 19 Fuzzy Sets and Possibility as Coherent Conditional Probabilities.- 19.1 Fuzzy sets: main definitions.- 19.2 Fuzziness and uncertainty.- 19.3 Fuzzy subsets and coherent conditional probability.- 19.4 Possibility functions and coherent conditional probability.- 19.5 Concluding remarks.- 20 Coherent Conditional Probability and Default Reasoning.- 20.1 Default logic through conditional probability equal to 1.- 20.2 Inferential rules.- 20.3 Discussion.- 21 A Short Account of Decomposable Measures of Uncertainty.- 21.1 Operations with conditional events.- 21.2 Decomposable measures.- 21.3 Weakly decomposable measures.- 21.4 Concluding remarks.mehr

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