JAIR article: Model-Based Diagnosis...

Steve Minton (minton@ISI.EDU)
Thu, 25 Jun 1998 10:06:08 -0700

<bigger>Readers of this mailing list may be interested in the following

article which was just published in JAIR:

</bigger>Darwiche, A. (1998)

"Model-Based Diagnosis using Structured System Descriptions",

Volume 8, pages 165-222.

Available in PDF, PostScript and compressed PostScript.

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Abstract: This paper presents a comprehensive approach for
model-based

diagnosis which includes proposals for characterizing and computing

preferred diagnoses, assuming that the system description is
augmented

with a system structure (a directed graph explicating the

interconnections between system components). Specifically, we first

introduce the notion of a consequence, which is a syntactically

unconstrained propositional sentence that characterizes all

consistency-based diagnoses and show that standard characterizations

of diagnoses, such as minimal conflicts, correspond to syntactic

variations on a consequence. Second, we propose a new syntactic

variation on the consequence known as negation normal form (NNF) and

discuss its merits compared to standard variations. Third, we

introduce a basic algorithm for computing consequences in NNF given
a

structured system description. We show that if the system structure

does not contain cycles, then there is always a linear-size

consequence in NNF which can be computed in linear time. For
arbitrary

system structures, we show a precise connection between the
complexity

of computing consequences and the topology of the underlying system

structure. Finally, we present an algorithm that enumerates the

preferred diagnoses characterized by a consequence. The algorithm is

shown to take linear time in the size of the consequence if the

preference criterion satisfies some general conditions.

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