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The course introduces Ph.D. students to distributed problem solving and multi-agent systems. The detailed content of the course is adjusted according to the background knowledge of registered students.
The topics discussed during the course are:
In winter semester 2021/22, the course will be organized via MS Teams, reusing the team for last semester 2020/21. The location and time of lectures will be discussed there, students will find the study materials there too.
The students find a topic related to their own research, which has a link to the subject and uses its methods. The students consult the topic with the teacher. They find the most relevant journal articles and/or conference papers and consult them with the teacher. Then they study the selected texts individually. Afterwards they prepare presentations and the content is discussed in the whole group. The presentation is a condition for passing the seminars.
The exam is oral. It is based on the topics discussed during the course.
To pass this course, the students have to