This paper reports on a geometrical investigation of de Finetti’s Dutch Book method as an operational foundation for a wide range of generalisations of probability measures, including lower probabilities, necessity measures and belief functions. Our main result identifies a number of non-limiting circumstances under which de Finetti’s coherence fails to lift from less to more general models. In particular our result shows that rich enough sets of events exist such that the coherence criteria for belief functions and lower probability collapse.

When Belief Functions and Lower Probabilities are Indistinguishable / E.A. Corsi, T. Flaminio, H. Hosni (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: International Symposium on Imprecise Probability: Theories and Applications / [a cura di] A. Cano, J. De Bock, E. Miranda, S. Moral. - [s.l] : Proceedings of Machine Learning Research, 2021. - pp. 83-89 (( Intervento presentato al 12. convegno ISIPTA tenutosi a virtuale nel 2021.

When Belief Functions and Lower Probabilities are Indistinguishable

E.A. Corsi;H. Hosni
2021

Abstract

This paper reports on a geometrical investigation of de Finetti’s Dutch Book method as an operational foundation for a wide range of generalisations of probability measures, including lower probabilities, necessity measures and belief functions. Our main result identifies a number of non-limiting circumstances under which de Finetti’s coherence fails to lift from less to more general models. In particular our result shows that rich enough sets of events exist such that the coherence criteria for belief functions and lower probability collapse.
English
Belief functions; coherence; geometric interpretation; imprecise probabilities; lower probabilities; uncertain reasoning
Settore M-FIL/02 - Logica e Filosofia della Scienza
Settore MAT/01 - Logica Matematica
Intervento a convegno
Esperti anonimi
Ricerca di base
Pubblicazione scientifica
   Dipartimenti di Eccellenza 2018-2022 - Dipartimento di FILOSOFIA
   MINISTERO DELL'ISTRUZIONE E DEL MERITO
International Symposium on Imprecise Probability: Theories and Applications
A. Cano, J. De Bock, E. Miranda, S. Moral
Proceedings of Machine Learning Research
2021
83
89
7
147
Volume a diffusione internazionale
Gold
0
ISIPTA
virtuale
2021
12
http://proceedings.mlr.press/v147/corsi21a/corsi21a.pdf
bibtex
Aderisco
E.A. Corsi, T. Flaminio, H. Hosni
Book Part (author)
open
273
When Belief Functions and Lower Probabilities are Indistinguishable / E.A. Corsi, T. Flaminio, H. Hosni (PROCEEDINGS OF MACHINE LEARNING RESEARCH). - In: International Symposium on Imprecise Probability: Theories and Applications / [a cura di] A. Cano, J. De Bock, E. Miranda, S. Moral. - [s.l] : Proceedings of Machine Learning Research, 2021. - pp. 83-89 (( Intervento presentato al 12. convegno ISIPTA tenutosi a virtuale nel 2021.
info:eu-repo/semantics/bookPart
3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/856476
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