Understanding Complex Systems
Prof Wiesner’s research is concerned with shaping the tools, from information theory and other areas of applied mathematics, to study the dynamics of natural and social complex systems.
The research is rooted in the philosophy of science and complexity. A precise definition of terms such as self-organisation, emergence, and robustness make much of the research transferable to the social sciences.
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Adappt – Using learner feedback for classroom instruction
The different learning needs of students in a classroom pose a great challenge for teachers. Often, some students are bored, while others have problems following the subject matter. Adaptive teaching addresses this issue. The central goal is to adapt the instruction to the individual needs of learners so that they reach their maximum potential. Although the concept has existed for many decades, there is still little empirical knowledge on its successful implementation in school practice.
Potassco Solutions: Problem solving with knowledge based AI
Whether you want to make optimum use of your production facilities, efficiently plan personnel shifts, or support your engineering design process with intelligent tools, the Potassco Solutions project team, led by Prof. Dr. Torsten Schaub, offers you its world-renowned Potassco AI, with which you can solve and optimise a variety of complex tasks in your company. The basis for this is your pre-existing organisational knowledge, such as your technologies, processes and structures. The information is first formally modelled and then processed by the Potassco-AI in such a way that the resulting solutions are comprehensible, practicable and - in case of changes - adaptable.