an overview from an abductive perspective In this paper we present an extension of the spectrum of logical de nitions of model-based diagnosis introduced in [8]. The extended spectrum considers the case of temporal model-based diagnosis. We distinguish between di erent temporal phenomena that can be taken into account indiagnosis 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 de nitions has two dimensions: the notion of logical explanation being adopted (i.e., consistency vs. entailment, as in consistency-based and abductive approaches to atemporal diagno...
Although the notion of diagnostic problem has been extensively investigated in the context of static...
Model-based diagnosis was first proposed for static systems, where the values of the input and outpu...
As society grows ever more reliant on increasingly complex technology, so does the importance of be...
In this paper we present an extension of the spectrum of logical definitions of model-based diagnosi...
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...
Most current model-based diagnosis formalisms and algorithms are defined only for static systems, wh...
Time representation and temporal reasoning are of crucial importance to clinical diagnosis. In this ...
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...
Model-based diagnosis of discrete-event systems (DESs) generates a set of candidates upon the recept...
PosterInternational audienceAbductive diagnosis (Brusoni et al. 1998) consists in finding explanatio...
This paper presents a temporal extension to the parsimonious covering theory (PCT), so instead of as...
In this paper we describe a general way of formalizing reasoning behaviour. Such a behaviour may be ...
Applying Model Based Diagnosis (MBD) techniques in medical domains reveal the need to use deep causa...
Although the notion of diagnostic problem has been extensively investigated in the context of static...
Model-based diagnosis was first proposed for static systems, where the values of the input and outpu...
As society grows ever more reliant on increasingly complex technology, so does the importance of be...
In this paper we present an extension of the spectrum of logical definitions of model-based diagnosi...
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...
Most current model-based diagnosis formalisms and algorithms are defined only for static systems, wh...
Time representation and temporal reasoning are of crucial importance to clinical diagnosis. In this ...
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...
Model-based diagnosis of discrete-event systems (DESs) generates a set of candidates upon the recept...
PosterInternational audienceAbductive diagnosis (Brusoni et al. 1998) consists in finding explanatio...
This paper presents a temporal extension to the parsimonious covering theory (PCT), so instead of as...
In this paper we describe a general way of formalizing reasoning behaviour. Such a behaviour may be ...
Applying Model Based Diagnosis (MBD) techniques in medical domains reveal the need to use deep causa...
Although the notion of diagnostic problem has been extensively investigated in the context of static...
Model-based diagnosis was first proposed for static systems, where the values of the input and outpu...
As society grows ever more reliant on increasingly complex technology, so does the importance of be...