Intern
    Lehrstuhl für Künstliche Intelligenz und Wissenssysteme

    Teaching

    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

    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

    Planned Courses

    • 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

    Current Student and Diploma Theses

    • 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)

    Students interested in theses about biologically inspired multi-agent systems, agent-based modelling and simulation or human-agent interactions are welcome. There are a lot of interesting topics left.