Playing LaserTag with MARS

During the summer semester 2020, the MARS DSL (click here to download the modeling handbook) was used in a course named Artificial Intelligence and Software Agents taught by Thomas Clemen at the HAW Hamburg. For the final project of the course, a multiagent-based game framework was created to simulate a LaserTag game in MARS. In each game, four teams of agents compete against each other for the highest score. Here is a visual representation of what a MARS LaserTag arena might look like.

The challenge for the students was to program their agents’ behavior – in a way that they think is strategically best to bring them victory. In a tournament setup, eight teams ot students had to let their agents compete against each other for first place. It was a fun event which provided great insight into artificial intelligence and agent behavior.

To check out the LaserTag framework, please contact us here.

Congratulations to Florian Ocker for completing his Master’s degree!

Florian Ocker, a long-time MARS Group member, has completed his Master’s degree. For his thesis, he used the MARS modeling system to develop a multimodal traffic model (which enables agents to travel on foot, by bicycle, and by car) for the district Altona in Hamburg, Germany. The overarching goals of the study were to examine a) the general feasibility of mapping multimodal travel behavior onto a multiagent model in MARS and b) the extent to which different configurations and combinations of multimodal travel might impact travel time.

Congratulations, Flo!