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Doctoral course

Distributed Decision Making in Multiagent Systems, 3.5 credits

Course information

Research education subject

  • Computer Science

Course Syllabus

Course Syllabus


Course content

The course discusses new and established research for coordination and distributed decision making in multiagent systems. Based on formal grounding in game theory and mechanism design, different interaction situations that autonomous agents have to solve are discussed for both, cooperative and antagonistic settings: task allocation and coordination in cooperative systems; social choice (voting), auctions and markets, negotiation and coalition formation for egoistic agents.

Course information

The plan is to offer the course in Fall 2023.

The course runs to some parts in parallel with the SMARTer course on DAI/MAS. There are three obligatory seminars.

While the first seminar is a kickoff meeting, the second contains presentations based on literature, and the third a presentation of the students concept. In addition, there are a number of assignments to be done. 

How to sign up for the course

The research administration will announce when it is time to sign up for the course. For questions contact the research administration: This is an email address