Modeling and Simulation Group

Modeling and simulation are essential methods that are applied in versatile areas, such as computer science, engineering, natural science, medicine, and social science. Depending on the system to be studied and the objective of the simulation study different methods are used for modeling, executing the model, and for analyzing results and steering the experiment. Our group focuses on the development of methods for modeling and simulation. Of particular interest in our research are:

  • Discrete event formalism/languages particularly for multi-level and spatial modeling
  • Parallel, distributed, and sequential simulation algorithms
  • Flexible and reusable approaches for modeling, executing a model, and entire simulation studies
  • Reliability of simulation results
  • Performance evaluation of simulation techniques

Our work involves methodological approaches as well as the development and implementation of concrete tools. The work is propelled by and addresses challenges entailed by different application domains of M&S, such as computer science, demography, cell biology, and ecology.


News




Events

Tue
03
Nov

Keynote „An agent-based modelling approach to account for social interactions in demography“ by Prof. Alexia Fürnkranz-Prskawetz

Abstract:
Demographic behaviour cannot be explained and understood in isolation from the social network one is linked to (e.g. Åberg 2003; Montgomery...

Tue
03
Nov
Wed
25
Nov

Short course "Agent-based modelling for social scientists"

The short course "Agent-based modelling for social scientists"

organized as part of the ERC project Bayesian Agent-based Population Studies will take...

Sun
08
Nov
Fri
13
Nov

Dagstuhl Seminar 20461

Computer Science Methods for Effective and Sustainable Simulation Studies (CANCELLED!)