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Qualitative modeling aims at representing all possible behaviors consistent with the given partial knowledge. We develop and apply methods and systems for representing and reasoning with incomplete knowledge about physical systems. Many tasks, for example in diagnosis or during early stages of design, have to be performed without precise numerical information, and sometimes, our knowledge about functional interdependencies underlying a class of systems (e.g. We have developed theoretical foundations and systems for such an extended diagnosis task and apply the results to water treatment problems. Additionally, one wants to reason about possible cures or symptom treatments in order to influence the ecosystem in a direction that is in accordance with some specified goals. Assessing the situation of an ecosystem from a limited number of observations can be defined as a challenging diagnosis task. One has to know possible phenomena and their preconditions. In complex ecosystems, it is often a knowledge intensive task to infer the causes of undesirable developments. Model-based behavior prediction, situation assessment and therapy proposal for natural and technical processes, in particular ecological systems
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Auflage, Oldenbourg Verlag, München, 2000. (Hrsg.): Handbuch der Künstlichen Intelligenz, 3. Erschienen in: Görz, G., Rollinger, C., Schneeberger, J. Struss, P.: Modellbasierte Systeme und Qualitative Modellierung. In the framework of several European and national projects, we have been collaborating with other academic partners and companies, in particular with car industries. Models are also used to support activities during design, such as diagnosability analysis, sensor placement, and Failure Mode Effect Analysis (FMEA), a method used for the identification of potential error types and their effects on the examined object and to classify them with respect to criticality or diagnosability. This is done based on a component-oriented behavior model of the respective device. This includes the automated generation of diagnostic hypotheses, proposed tests and repair actions. The group has developed tools and applications dedicated to supporting diagnosis of real physical system. Systems for automated fault analysis, diagnosis, testing, and repair of technical systems For further information check our MQM Website. Our main focus are modeling techniques based on first principles as well as problem solving algorithms. The Model-based Systems and Qualitative Reasoning Group of Professor Peter Struss works on developing knowledge and model-based systems for industrial or scientific applications. Model-based behavior prediction, situation assessment and therapy proposal for natural and technical processes, in particular ecological systems.Systems for automated fault analysis, diagnosis, testing, and repair of technical systems.