Chapter 1. Probability Functions for Prepositional Logic

&
In Peter Roeper & Hugues Leblanc (eds.), Probability Theory and Probability Semantics. University of Toronto Press. pp. 5-25 (1999)
  Copy   BIBTEX

Abstract

This article has no associated abstract. (fix it)

Categories

Keywords

Reprint years

DOI

10.3138/9781442678781-003

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,853

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Chapter 9. Absolute Probability Functions for Intuitionistic Logic.Peter Roeper & Hughes Leblanc - 1999 - In Peter Roeper & Hugues Leblanc (eds.), Probability Theory and Probability Semantics. University of Toronto Press. pp. 167-181.
Chapter 10. Relative Probability Functions for Intuitionistic Logic.Peter Roeper & Hughes Leblanc - 1999 - In Peter Roeper & Hugues Leblanc (eds.), Probability Theory and Probability Semantics. University of Toronto Press. pp. 182-190.
Chapter 4. Representing Relative Probability Functions by Means of Classes of Measure Functions.Peter Roeper & Hughes Leblanc - 1999 - In Peter Roeper & Hugues Leblanc (eds.), Probability Theory and Probability Semantics. University of Toronto Press. pp. 59-77.
Chapter 5. The Recursive Definability of Probability Functions.Peter Roeper & Hughes Leblanc - 1999 - In Peter Roeper & Hugues Leblanc (eds.), Probability Theory and Probability Semantics. University of Toronto Press. pp. 78-98.
Chapter 3. Relative Probability Functions and Their T-Restrictions.Peter Roeper & Hughes Leblanc - 1999 - In Peter Roeper & Hugues Leblanc (eds.), Probability Theory and Probability Semantics. University of Toronto Press. pp. 45-58.
Chapter 6. Families of Probability Functions Characterised by Equivalence Relations.Peter Roeper & Hughes Leblanc - 1999 - In Peter Roeper & Hugues Leblanc (eds.), Probability Theory and Probability Semantics. University of Toronto Press. pp. 99-108.
Chapter 7. Absolute Probability Functions Construed as Representing Degrees of Logical Truth.Peter Roeper & Hughes Leblanc - 1999 - In Peter Roeper & Hugues Leblanc (eds.), Probability Theory and Probability Semantics. University of Toronto Press. pp. 114-141.
Chapter 8. Relative Probability Functions Construed as Representing Degrees of Logical Consequence.Peter Roeper & Hughes Leblanc - 1999 - In Peter Roeper & Hugues Leblanc (eds.), Probability Theory and Probability Semantics. University of Toronto Press. pp. 142-166.
Absolute probability functions for intuitionistic propositional logic.Peter Roeper & Hugues Leblanc - 1999 - Journal of Philosophical Logic 28 (3):223-234.
Chapter 2. The Probabilities of Infinitary Statements and of Quantifications.Peter Roeper & Hughes Leblanc - 1999 - In Peter Roeper & Hugues Leblanc (eds.), Probability Theory and Probability Semantics. University of Toronto Press. pp. 26-44.
From Classical to Intuitionistic Probability.Brian Weatherson - 2003 - Notre Dame Journal of Formal Logic 44 (2):111-123.
On relativizing Kolmogorov's absolute probability functions.Hugues Leblanc & Peter Roeper - 1989 - Notre Dame Journal of Formal Logic 30 (4):485-512.
Propositions in Prepositional Logic Provable Only by Indirect Proofs.Jan Ekman - 1998 - Mathematical Logic Quarterly 44 (1):69-91.
Getting the constraints on Popper's probability functions right.Hugues Leblanc & Peter Roeper - 1993 - Philosophy of Science 60 (1):151-157.
Inductive Logic and the Foundations of Probability Theory: A Revaluation of Carnap's Program.Maria Concetta Di Maio - 1992 - Dissertation, Princeton University

Analytics

Added to PP
2016-07-01

Downloads
10 (#1,193,699)

6 months
4 (#790,339)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references