Winter Term 2006/07

• Lecture about Modelling and Simulation. This is not a simulation technique lecture, but a lecture that introduces different modelling paradigm for simulation - from differential equations to Bond Graphs, from logic-based models to Lindenmayer systems and from Queuing Nets via Petri Nets to Cellular Automata, from system dynamics to agent-based simulation. The students should learn which modelling paradigm is appropriate for what kind of system.
• Practical about Intelligent Systems in Traffic and Transportation
• Participation in practical about modelling intelligent systems and in seminar about new trends in AI and cognitive science

Summer Term 2006

• Lecture about Distributed Artificial Intelligence (Multi-Agent Systems)
• Seminar about Intelligent Systems in Traffic and Logistic

Course at the EASSS 2006 (July, 17-21, Annecy), together with Emma Norling: Agent-based Simulation: Social Science Simulation and Beyond

WS2005/06

• Interdisciplinary practical biology+informatics: building a componend-based model of a complete bee hive.
• Multiagent Systems Practical

Previous Courses

• Every winter term: interdisciplinary practical biology - computer science on modelling emergent phenomena in social insects
• Lecture together with Prof. Puppe: Intelligent Human-Computer Interaction (summer term 2003)
• Seminar on hybrid human and agent systems in winter term 2002/03 and on human-like agents 2003/04
• Practical on distributed artificial intelligence in winter term 2002/2003
• Seminar on coordination in multi-agent systems in summer term 2002
• Lecture on Foundations of Multi Agent Systems, was held for the 3rd time in SS 2004

• Updated lecture about Human Computer Interaction - e.g. new aspects on ambient intelligence, etc.
  This lecture is announced for summer 2007
• Updated lecture about Distribted AI/Multi Agent Systems is scheduled for winter 2007/08

• Reinhard Hatko: Concepts of Distributed Simulation for Multiagent Simulation
• Michael Scherer: Organizational Structures for Supporting the Development of Multiagent Simulation
• Patrick Herrler: Open End Evolution for SeSAm
• Michael Herrmann: Neural Networks as Self-organizing Components in Multi-agent Simulations
• Kathrin Scherger: Comparison of Different Microscopic Pedestrian Simulations
• Matthias Bülow: Metrics for Multiagent Simulations (finished in Nov, 2005)