Diagnosis was among the first subjects investigated when digital computers became available. It still remains an important research area, in which several new developments have taken place in the last decade. One of these new developments is the use of detailed domain models in knowledge-based systems for the purpose of diagnosis, often referred to as model-based diagnosis. Typically, such models embody knowledge of the normal or abnormal structure and behaviour of the modelled objects in a domain. Models of the structure and workings of technical devices, and causal models of disease processes in medicine are two examples. In this article, the most important notions of diagnosis and their formalisation are reviewed and brought in perspecti...
grantor: University of TorontoAutomated diagnosis has long been a problem of interest to t...
Abstraction has been advocated as one of the main remedies for the computational complexity of model...
As society grows ever more reliant on increasingly complex technology, so does the importance of be...
AbstractVarious formal theories have been proposed in the literature to capture the notions of diagn...
The model-based diagnosis project at the University of Twente has been directed at improving the pra...
Every model-based diagnostic approach relies on a representation of a real-world system, in this pa-...
The principles of deep modeling are described. There are two approaches to deep modeling: component ...
This paper addresses the formal verification of diagnosis systems. We tackle the problem of diagnosa...
Diagnosis in the broadest sense is the determination of the cause and nature of behaviours or observ...
International audienceIn the scientific literature, it is generally assumed that models can be compl...
International audienceThis paper presents a framework for modeling diagnosis problems based on a for...
This paper discusses the use and importance of category theory in system descriptions for model-base...
This thesis presents DAMOCLES, a quantitative modelling approach to medical diagnosis that addresses...
Each system used for diagnosis problem solving needs a knowledge base specifying the causal, structu...
AbstractDiagnostic systems depend on knowledge bases specifying the causal, structural or functional...
grantor: University of TorontoAutomated diagnosis has long been a problem of interest to t...
Abstraction has been advocated as one of the main remedies for the computational complexity of model...
As society grows ever more reliant on increasingly complex technology, so does the importance of be...
AbstractVarious formal theories have been proposed in the literature to capture the notions of diagn...
The model-based diagnosis project at the University of Twente has been directed at improving the pra...
Every model-based diagnostic approach relies on a representation of a real-world system, in this pa-...
The principles of deep modeling are described. There are two approaches to deep modeling: component ...
This paper addresses the formal verification of diagnosis systems. We tackle the problem of diagnosa...
Diagnosis in the broadest sense is the determination of the cause and nature of behaviours or observ...
International audienceIn the scientific literature, it is generally assumed that models can be compl...
International audienceThis paper presents a framework for modeling diagnosis problems based on a for...
This paper discusses the use and importance of category theory in system descriptions for model-base...
This thesis presents DAMOCLES, a quantitative modelling approach to medical diagnosis that addresses...
Each system used for diagnosis problem solving needs a knowledge base specifying the causal, structu...
AbstractDiagnostic systems depend on knowledge bases specifying the causal, structural or functional...
grantor: University of TorontoAutomated diagnosis has long been a problem of interest to t...
Abstraction has been advocated as one of the main remedies for the computational complexity of model...
As society grows ever more reliant on increasingly complex technology, so does the importance of be...