Advanced Reasoning Group (ARG)

The Advanced Reasoning Group (ARG) aims to conduct innovative research in qualitative and approximative reasoning, including methods of knowledge representation, model generation and refinement, and model-based problem solving.  The group focuses on multiple failure FMEA and sneak circuit analysis; mode-based whole lifecycle automated system analysis; qualitative model-based learning; knowledge extraction over high dimensional data sets; and compositional modeling and preference handling. Applications of these techniques are wide-reaching, ranging from laboratory demonstrations (e.g. Metabolic pathway identification and simulation, and crime scenario construction and investigation) to commercial productions (e.g. automotive and aeronautical fault diagnosis, and consumer sensitive data analysis).

Please visit the Advanced Reasoning Group (ARG) webpages for more information.

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