| Peer-Olaf Siebers (PhD) | ||||
|
||||
| Mission Statement | ||||
|
Data Driven Agent-Oriented Discrete Event Simulation is a novel stochastic approach to study the dynamics of complex adaptive systems. There are numerous application opportunities to use this approach for enhancing the modelling and analysis of human-centric operations, service, and socio-technical systems in fields like Operations Research, Energy Policy, Management Science and Digital Economy. However, the field is still in its infants and methods need to be further developed, tested, and standardised. My research goal is to establish Data Driven Agent-Oriented Discrete Event Simulation as an alternative to the predominately mathematic methods currently used by researchers and practitioners. Furthermore, I am interested in the application of different types of modelling and simulation to support Risk Analysis and in applying Agent-Based Modelling and Simulation in Systems Biology. More recently I have started studying how to use games (Game Theory) as a data collection tool or as a mechanism to inform/support modelling the Decision Making of Actors in Socio-Technical Simulation Models. To find out more, have a look at: |
||||
| News | ||||
|
||||
This site uses cookies to anonymously measure how people use it!