In this paper we give some procedures for checking coherence of precise and imprecise conditional probability assessments.We give an example of a function P which satisfies the axioms of a conditional probability, but is not coherent. We also analyze the disjuntion and triangularity inference rules, well known in nonmonotonic reasoning. We compute the lower and upper probability bounds for the conclusions of such rules, by improving the results given by other authors.

Algorithms for precise and imprecise conditional probability assessments / Gilio, Angelo. - STAMPA. - (1995), pp. 231-254.

Algorithms for precise and imprecise conditional probability assessments

GILIO, ANGELO
1995

Abstract

In this paper we give some procedures for checking coherence of precise and imprecise conditional probability assessments.We give an example of a function P which satisfies the axioms of a conditional probability, but is not coherent. We also analyze the disjuntion and triangularity inference rules, well known in nonmonotonic reasoning. We compute the lower and upper probability bounds for the conclusions of such rules, by improving the results given by other authors.
Mathematical Models for Handling Partial Knowledge in Artificial Intelligence
0306450763
Coherence; generalized atoms; precise and imprecise conditional probability assessments; probability lower bounds; algorithms; inference rules; propagation of conditional probability bounds.
02 Pubblicazione su volume::02a Capitolo o Articolo
Algorithms for precise and imprecise conditional probability assessments / Gilio, Angelo. - STAMPA. - (1995), pp. 231-254.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/403033
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