Résumé
The theory of probability, as we understand it, connects
with logic in two ways. For one, it involves la study of
the logic of probability judgements and the logical
relations among probability judgements; secondly, it
investigates the place of probability vis-à-vis logic
itselfs.
The logic of probability judgements, encapsulated in systems of constraints, is pursued in Part I, called Probability Theory, white Part II, Probability Logic, is devoted to locating probability itself within logic as a semantic notion in the same family as logical consequence and consistency.
Contents
- Part One : Probability Theory
- Chapter 1 Probability Functions for Propositional Logics
- Chapter 2 The Probabilities of Infinitary Statements and of Quantifications
- Chapter 3 Relative Probability Functions and Their T-Restrictions
- Chapter 4 The Representation Theorem for L
- Chapter 5 The Recursive Definabilitly of Probality Functions
- Chapter 6 Families of Probability Functions Characterised by Equivalence Relations
- Part Two
- Chapter 7 Absolute Probability Functions Construed as Representing Degrees of Logical Truth
- Chapter 8 Relative Probability Functions Construed as Representing Degrees of Logical Consequence
- Chapter Absolute Probability Functions for Intuitionistic Logics
- Chapter 10 Relative Probability Functions for Intuitionistic Logic
- Appendix
- Notes
- Bibliography
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Toronto University Press |
| Auteur(s) | P Roeper, H Leblanc |
| Parution | 01/04/1999 |
| Nb. de pages | 240 |
| Format | 16,3 x 23,6 |
| Couverture | Relié |
| Poids | 546g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780802008077 |
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