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  • © 2002

Probabilistic Logic in a Coherent Setting

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

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-6
  2. Introduction

    • Giulianella Coletti, Romano Scozzafava
    Pages 7-15
  3. Events as Propositions

    • Giulianella Coletti, Romano Scozzafava
    Pages 17-24
  4. Finitely Additive Probability

    • Giulianella Coletti, Romano Scozzafava
    Pages 25-29
  5. Coherent probability

    • Giulianella Coletti, Romano Scozzafava
    Pages 31-35
  6. Betting Interpretation of Coherence

    • Giulianella Coletti, Romano Scozzafava
    Pages 37-42
  7. Coherent Extensions of Probability Assessments

    • Giulianella Coletti, Romano Scozzafava
    Pages 43-48
  8. Random Quantities

    • Giulianella Coletti, Romano Scozzafava
    Pages 49-51
  9. Probability Meaning and Assessment: a Reconciliation

    • Giulianella Coletti, Romano Scozzafava
    Pages 53-56
  10. To Be or not To Be Compositional?

    • Giulianella Coletti, Romano Scozzafava
    Pages 57-59
  11. Conditional Events

    • Giulianella Coletti, Romano Scozzafava
    Pages 61-72
  12. Coherent Conditional Probability

    • Giulianella Coletti, Romano Scozzafava
    Pages 73-97
  13. Zero-Layers

    • Giulianella Coletti, Romano Scozzafava
    Pages 99-108
  14. Coherent Extensions of Conditional Probability

    • Giulianella Coletti, Romano Scozzafava
    Pages 109-115
  15. Exploiting Zero Probabilities

    • Giulianella Coletti, Romano Scozzafava
    Pages 117-126
  16. Lower and Upper Conditional Probabilities

    • Giulianella Coletti, Romano Scozzafava
    Pages 127-136
  17. Inference

    • Giulianella Coletti, Romano Scozzafava
    Pages 137-161
  18. Stochastic Independence in a Coherent Setting

    • Giulianella Coletti, Romano Scozzafava
    Pages 163-190
  19. A Random Walk in the Midst of Paradigmatic Examples

    • Giulianella Coletti, Romano Scozzafava
    Pages 191-213
  20. Fuzzy Sets and Possibility as Coherent Conditional Probabilities

    • Giulianella Coletti, Romano Scozzafava
    Pages 215-240

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

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access