Abstract

The second Multi-Agent Programming Contest 2018 team of the Technische Universität Berlin results from the course Applied Artificial Intelligence Project that has taken place in the summer term 2018. The given target was to use our decision-making and planning framework ROS Hybrid Behaviour Planner (RHBP), which allows developing distributed multi-agent systems in the robotics domain. For the 2018 edition of the contest, the students particularly evaluated recently introduced features for knowledge sharing in RHBP. The united team for the official contest is formed by students from the course and their supervisors.

@InProceedings{Hrabia2020distributed,
author={Hrabia, Christopher-Eyk
and Schmidt, Marc
and Weintraud, Andrea Marie
and Hessler, Axel},
editor="Ahlbrecht, Tobias
and Dix, J{\"u}rgen
and Fiekas, Niklas",
title={Distributed Decision-Making based on Shared Knowledge in the Multi-Agent Programming Contest},
booktitle="The Multi-Agent Programming Contest 2018 (Lecture Notes in Computer Science)",
year={2020},
publisher={Springer International Publishing},
address="Cham",
pages="101--119",
isbn="978-3-030-37959-9"
}