Towards the integration of different knowledge sources in model-based diagnosis

Luca Console, Daniele Theseider Dupre, Pietro Torasso

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Abstract

Over the last few years several attempts have been made to design diagnostic systems which combine more than one model of the system to be diagnosed or more than one reasoning mechanism. In this paper we analyze the integration of different knowledge sources in model-based diagnosis, and, in particular, abductive diagnosis. We consider behavioral models in which the interaction between processes can be represented, enriched with constraints and taxonomic relationships among diagnostic hypotheses. We provide several insights into the role of such forms of knowledge in model-based diagnosis, showing how they can be accommodated both in a meta-level definition of abduction with constraints and in an object-level framework for abduction.

Lingua originaleInglese
Titolo della pubblicazione ospiteTrends in Artificial Intelligence - 2nd Congress of the Italian Association for Artificial Intelligence, AI*IA, Proceedings
EditorEdoardo Ardizzone, Salvatore Gaglio, Filippo Sorbello
EditoreSpringer Verlag
Pagine177-186
Numero di pagine10
ISBN (stampa)9783540547129
DOI
Stato di pubblicazionePubblicato - 1991
Pubblicato esternamente
Evento2nd Congress of the Italian Association for Artificial Intelligence, AI*IA 1991 - Palermo, Italy
Durata: 29 ott 199131 ott 1991

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume549 LNAI
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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???event.eventtypes.event.conference???2nd Congress of the Italian Association for Artificial Intelligence, AI*IA 1991
Paese/TerritorioItaly
CittàPalermo
Periodo29/10/9131/10/91

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