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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationTrends in Artificial Intelligence - 2nd Congress of the Italian Association for Artificial Intelligence, AI*IA, Proceedings
EditorsEdoardo Ardizzone, Salvatore Gaglio, Filippo Sorbello
PublisherSpringer Verlag
Pages177-186
Number of pages10
ISBN (Print)9783540547129
DOIs
Publication statusPublished - 1991
Externally publishedYes
Event2nd Congress of the Italian Association for Artificial Intelligence, AI*IA 1991 - Palermo, Italy
Duration: 29 Oct 199131 Oct 1991

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume549 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd Congress of the Italian Association for Artificial Intelligence, AI*IA 1991
Country/TerritoryItaly
CityPalermo
Period29/10/9131/10/91

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