In this paper we present an extension of the spectrum of logical definitions of model-based diagnosis introduced in [8]. The extended spectrum considers the case of temporal model-based diagnosis. We distinguish between different temporal phenomena that can be taken into account in diagnosis and we introduce a modeling language which can capture all such phenomena. We then introduce a general characterization of the notions of diagnostic problem and explanation, showing that in the temporal case the spectrum of alternative definitions has two dimensions: the notion of logical explanation being adopted (i.e., consistency vs. entailment, as in consistency-based and abductive approaches to atemporal diagnosis) and the notion of temporal explan...
Discusses an approach to diagnosis across different time instants, based on the decomposition of sta...
As society grows ever more reliant on increasingly complex technology, so does the importance of be...
Model-based diagnosis was first proposed for static systems, where the values of the input and outpu...
an overview from an abductive perspective In this paper we present an extension of the spectrum of l...
Several approaches have been proposed to deal with time in diagnosis. The goal of this paper is to p...
In this paper we extend our previous work in the area of temporal diagnostic reasoning. Based on a l...
Time representation and temporal reasoning are of crucial importance to clinical diagnosis. In this ...
Most current model-based diagnosis formalisms and algorithms are defined only for static systems, wh...
In this paper we describe a framework for reasoning about temporal explanation problems, which is b...
The analysis of time-varying systems is attracting a lot of attention in the model-based diagnosis c...
International audienceAbductive diagnosis (Brusoni et al. 1998) consists in finding explanations for...
This paper presents a temporal extension to the parsimonious covering theory (PCT), so instead of as...
Applying Model Based Diagnosis (MBD) techniques in medical domains reveal the need to use deep causa...
Model-based diagnosis of discrete-event systems (DESs) generates a set of candidates upon the recept...
In this paper we describe a general way of formalizing reasoning behaviour. Such a behaviour may be ...
Discusses an approach to diagnosis across different time instants, based on the decomposition of sta...
As society grows ever more reliant on increasingly complex technology, so does the importance of be...
Model-based diagnosis was first proposed for static systems, where the values of the input and outpu...
an overview from an abductive perspective In this paper we present an extension of the spectrum of l...
Several approaches have been proposed to deal with time in diagnosis. The goal of this paper is to p...
In this paper we extend our previous work in the area of temporal diagnostic reasoning. Based on a l...
Time representation and temporal reasoning are of crucial importance to clinical diagnosis. In this ...
Most current model-based diagnosis formalisms and algorithms are defined only for static systems, wh...
In this paper we describe a framework for reasoning about temporal explanation problems, which is b...
The analysis of time-varying systems is attracting a lot of attention in the model-based diagnosis c...
International audienceAbductive diagnosis (Brusoni et al. 1998) consists in finding explanations for...
This paper presents a temporal extension to the parsimonious covering theory (PCT), so instead of as...
Applying Model Based Diagnosis (MBD) techniques in medical domains reveal the need to use deep causa...
Model-based diagnosis of discrete-event systems (DESs) generates a set of candidates upon the recept...
In this paper we describe a general way of formalizing reasoning behaviour. Such a behaviour may be ...
Discusses an approach to diagnosis across different time instants, based on the decomposition of sta...
As society grows ever more reliant on increasingly complex technology, so does the importance of be...
Model-based diagnosis was first proposed for static systems, where the values of the input and outpu...