A comparative analysis of Horn models and Bayesian Networks for diagnosis

Luigi Portinale, Pietro Torasso

Risultato della ricerca: Capitolo in libro/report/atti di convegnoContributo a conferenzapeer review

Abstract

The aim of the paper is to formally relate logical Horn models and Bayesian Networks (BNs) in the framework of diagnostic reasoning. This is pursued by pointing out similarities between the two formalisms at the modeling level and by introducing into BNs a suitable notion of derivation. We also discuss modeling issues underlying the choice of Horn-based models vs BNs, by making explicit the “completion semantics” underlying a BN. This correspondence between “completed” Horn theories and BNs allows us to formally justify classical diagnostic schemata adopted for BNs.

Lingua originaleInglese
Titolo della pubblicazione ospiteAI*IA 97
Sottotitolo della pubblicazione ospiteAdvances in Artificial Intelligence - 5th Congress of the Italian Association for Artificial Intelligence, Proceedings
EditorMaurizio Lenzerini
EditoreSpringer Verlag
Pagine254-265
Numero di pagine12
ISBN (stampa)3540635769, 9783540635765
DOI
Stato di pubblicazionePubblicato - 1997
Pubblicato esternamente
Evento5th Congress of the Italian Association for Artificial Intelligence, AI*IA 1997 - Rome, Italy
Durata: 17 set 199719 set 1997

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1321
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???5th Congress of the Italian Association for Artificial Intelligence, AI*IA 1997
Paese/TerritorioItaly
CittàRome
Periodo17/09/9719/09/97

Fingerprint

Entra nei temi di ricerca di 'A comparative analysis of Horn models and Bayesian Networks for diagnosis'. Insieme formano una fingerprint unica.

Cita questo