This course first introduces the basics of software agents and agent systems. Using application examples from the field of energy systems, different aspects are examined, e.g., (distributed) optimization of real-world problems, agent architectures, agent communication, cooperative and competitive agents, and agents to implement distributed heuristics, ...

The accompanying exercise is divided into two phases.
1. Phase: Exercise sheets are handed out to put the basics of the lecture into practice
2. Phase: You will get assigned to projects in which a distributed system/algorithm needs to be implemented that can solve a given real-world (from the energy domain) optimization problem.

The programming language for the exercises is Python. The framework mango supports the implementation of the distributed system.