A comparative analysis of Horn models and Bayesian Networks for diagnosis

Luigi PORTINALE; P. TORASSO

doi:10.1007/3-540-63576-9_113

A comparative analysis of Horn models and Bayesian Networks for diagnosis

Luigi PORTINALE
, P. TORASSO

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › peer 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 originale	Inglese
Pagine	254-265
Numero di pagine	12
DOI	https://doi.org/10.1007/3-540-63576-9_113
Stato di pubblicazione	Pubblicato - 1997
Evento	5th Congress of the Italian Association for Artificial Intelligence (AI*IA-97) - Roma, Italy Durata: 1 gen 1997 → …

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???event.eventtypes.event.conference???	5th Congress of the Italian Association for Artificial Intelligence (AI*IA-97)
Città	Roma, Italy
Periodo	1/01/97 → …

Keywords

Horn models
Bayesian Networks

Accesso al documento

10.1007/3-540-63576-9_113

http://hdl.handle.net/11579/9428

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A comparative analysis of Horn models and Bayesian Networks for diagnosis

Abstract

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Keywords

Accesso al documento

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