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Diagnosis, Planning, Optimisation
Making complex automated systems act smart...
The DPO group brings together researchers from the Australian National University and NICTA whose interests are in the area of Artificial Intelligence, specifically the construction of intelligent automated systems. Research focuses on developing innovative techniques for:
- Diagnosis
- Diagnostic reasoning aims to explain the state or behavior of a system based on observations (symptoms, sensor readings, measurements). Our focus is on model-based diagnosis (using a model of the system), on modular, component-based systems, in which the diagnostic process is distributed.
- Planning
- Automated planning is control, with the emphasis on prediction, rather than reaction. The aim of planning is to automate the synthesis of plans of actions and control programs from formal model of the controlled system, its environment and the objectives to be achieved.
- Optimisation
- Optimisation aims at finding the best solution. Optimisation problems naturally arise in both diagnosis (e.g. finding the simplest explanation, or the minimal set of sensors required to be able to detect a system fault) and planning (e.g. finding the plan that achieves the desired goal in the shortest time, or that maximises the degree to which goals are met when limited resources prevents achieving them fully).
For Students
- Undergraduate and Graduate Teaching
- We give courses in several areas of Artificial Intelligence...
- Student Projects
- We offer many interesting topics for students interested in doing anything from summer scholarship projects to honours or a PhD. See the student projects list for an up-to-date list of topics and information about who to contact if you're interested!
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