Add to ORKGIn this paper we summarize the foundation for a model-based approach to diagnosis of technical systems ud discuss the import&Dce of qualitative reasoning within this framework. Based on this, we propose to apply these diagnostic techniques to model building. Thus, theories about physical systems are checked for consistency ud against empirical observations. Thu leads to a tool that supports the conatruction ud maintena.nce of modellibra.ries as well as the process of theory formation in research
Environmental decision support involves different tasks like assessing the current situation from ob...
This thesis describes a diagnostic technique for explaining unanticipated modes of failure in contin...
All major approaches to Qualitative Reasoning rely on the existence of a model of the physical syste...
In this paper we summarize the foundation for a model-based approach to diagnosis of technical syste...
A substantial foundation of tools for model-based reasoning with incomplete knowledge was developed:...
The present goal in qualitative reasoning is to develop methods for automatically building qualitati...
To determine why something has stopped working, it is useful to know how it was supposed to work in ...
The model-based diagnosis project at the University of Twente has been directed at improving the pra...
In Model-Based Diagnosis, a set of inference rules is typically used to compute diagnoses using a sc...
This paper reports on research in progress, investigating the use of process-centered quali_ tative ...
First generation expert systems use judgemental knowledge of the human experts which use heuristic a...
Model-based approaches have proven fruitful in the design and implementation of intelligent systems ...
The principles of deep modeling are described. There are two approaches to deep modeling: component ...
This paper introduces a novel approach to Model-Based Diagnosis (MBD) for hybrid technical systems. ...
■ We examine different formalisms for modeling qualitatively physical systems and their associated i...
Environmental decision support involves different tasks like assessing the current situation from ob...
This thesis describes a diagnostic technique for explaining unanticipated modes of failure in contin...
All major approaches to Qualitative Reasoning rely on the existence of a model of the physical syste...
In this paper we summarize the foundation for a model-based approach to diagnosis of technical syste...
A substantial foundation of tools for model-based reasoning with incomplete knowledge was developed:...
The present goal in qualitative reasoning is to develop methods for automatically building qualitati...
To determine why something has stopped working, it is useful to know how it was supposed to work in ...
The model-based diagnosis project at the University of Twente has been directed at improving the pra...
In Model-Based Diagnosis, a set of inference rules is typically used to compute diagnoses using a sc...
This paper reports on research in progress, investigating the use of process-centered quali_ tative ...
First generation expert systems use judgemental knowledge of the human experts which use heuristic a...
Model-based approaches have proven fruitful in the design and implementation of intelligent systems ...
The principles of deep modeling are described. There are two approaches to deep modeling: component ...
This paper introduces a novel approach to Model-Based Diagnosis (MBD) for hybrid technical systems. ...
■ We examine different formalisms for modeling qualitatively physical systems and their associated i...
Environmental decision support involves different tasks like assessing the current situation from ob...
This thesis describes a diagnostic technique for explaining unanticipated modes of failure in contin...
All major approaches to Qualitative Reasoning rely on the existence of a model of the physical syste...