We argue in favour of interpreting degrees of truth in terms of objective probabilities, while retaining truth-functionality. We back our proposal with a selection of examples taken from a variety of recent approaches to quantitative uncertain reasoning. Keywords:
Probability and Degrees of Truth / P. Baldi, H. Hosni - In: The Logica Yearbook 2021 / [a cura di] I. Sedlár. - London : College Publications, 2022. - ISBN 978-1-84890-414-9. - pp. 1-18
Probability and Degrees of Truth
P. Baldi
Co-primo
;H. HosniCo-primo
2022
Abstract
We argue in favour of interpreting degrees of truth in terms of objective probabilities, while retaining truth-functionality. We back our proposal with a selection of examples taken from a variety of recent approaches to quantitative uncertain reasoning. Keywords:
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
logicasecond.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
180.01 kB
Formato
Adobe PDF
|
180.01 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
