piwik-script

Deutsch Intern
    Chair of Computer Science VI - Artificial Intelligence and Applied Computer Science

    Multi-Agent Simulation

    Agent-based simulation is highly valuable tool for modeling and simulation of complex distributed systems that previously only could be tackled in a too abstract way for useful statements. Based on this paradigm variable structures, adaptive actors, multi-level feedback loops, spatial and non-spatial interactions, etc. can be formulated so that these properties can be analysed explicitly. Additionally, multi-agent simulation is a quite inuitive way of modeling complex distributed systems consisting of autonomous actors - the gap between modelling paradigm and real-world is smaller than in every other paradigm.

    • Methods and tools for multi-agent simulation: SeSAm.
      My basic research goal is to improve methods and tools for agent-based simulation for
      • guiding the design and implementation process so that a systematic way of developing valid and useful multi-agent simulations replaces the try-and-error procedure currently mostly applied
      • providing rapid prototyping tools for being able to make experiences "playing around" with different models of complex systems without great effort in implementing these simulations
      • providing comfortable and high-level languages that allow also users without deep simulation programming experience to design and implement their simulation models - make the methods of multiagent simulation accessible for people that were not able to bridge the technology gap before.
      SeSAm is the first step for adressing these goals.
    • Application of multi-agent simulation in interdisciplinary cooperations
      • biology together with the people from Chair of Sociobiology, U Würzburg, we developed several agent-based simulations concerning sociality and task allocation in social insects (funded by DFG SFB 554- 2000-2006). Currently, there is a cooperation with Dr. Anna Dornhaus (University of Arizona, Tucson) devoted to the analysis of task allocation performance in social insects and software agents.
      • traffic simulation between 1999 and 2004 in German-Brazilian Exchange Projects (DLR/CNPq and CAPES/Baviera), as a cooperation with Profa. Ana L. Bazzan. This cooperation is continued and will hopefully be funded again in 2006 together with Prof. Kai Nagel (TU Berlin). Additionally there is a SVI-funded project running until mid of 2007 with Emch + Berger AG, Bern for developing an agent-based model for combined route and transportation mode choice.
      • pedestrian simulation is one of our largest SeSAm application. March-Dec 2006, we simulated the pedestrian behavior of the SBB railway station in Bern based during the busy morning hours on real-world scale - complete layout, complete train schedules, all travelers according to SBB data. Our agents are intelligent and thus capable for flexible and individual path planning... This project was a coopertion with Emch&Berger AG Bern and financed by SBB.
      • logistics we are simulating highbay warehouses in sufficient detail for providing a useful basis for testing complex control software before the actual hardware is available. This is our most successful industry project. The SeSAm-models developed in this project are meanwhile applied not only for software tests, but also for requirements engineering, user interface tutorials, etc... Project partner is SSI Schäfer Noell AG, Giebelstadt.
      • health care and logistics. Our group had projects in the DFG SPP 1083 (project partner Prof. Dr. Kirn, U Hohenheim). The focus was on the simulation-based evaluation of different strategies for examination and therapy scheduling using agent-based concepts.
      • there are several "minor" application projects, I'm involved in - they reach from shopping simulation, innovation dissemination in water economy, species diversity...

    Multi-Agent Systems

    I'm generelly interested in multi-agent systems and their potential due to intuitive ways of representing complex distributed systems that can be found in real world, but also artificial ones.

    • Biologically inspired coordination in multi-agent systems (DFG SPP 554 - 2003-2006)
    • Agent-oriented software engineering

    Human-Computer Interaction

    How to make modelling and simulation more accessible to people without deep programming experience, needs knowledge about HCI. In particular I'm focussing on

    • Simple, Efficient and scalable Visual Programming for multi-agent systems and simulations
    • Interactions between humans and multi-agent systems for validating/falsifying implementation correctness, but also for generating inspiration for model building.

    Data privacy protection

    By clicking 'OK' you are leaving the web sites of the Julius-Maximilians-Universität Würzburg and will be redirected to Facebook. For information on the collection and processing of data by Facebook, refer to the social network's data privacy statement.

    Data privacy protection

    By clicking 'OK' you are leaving the web sites of the Julius-Maximilians-Universität Würzburg and will be redirected to Twitter. For information on the collection and processing of data by Facebook, refer to the social network's data privacy statement.

    Contact

    Lehrstuhl für Informatik VI (Künstliche Intelligenz und angewandte Informatik)
    Am Hubland
    97074 Würzburg

    Phone: +49 931 31-86731
    Email

    Find Contact