We provide a brief description of the Python-DTU system, including the overall design, the tools and the algorithms that we plan to use in the agent contest. Updated 1 October 2011: Appendix with comments on the contest added.

Five teams participated in the Multi-Agent Programming Contest in 2013: All of them gained experience in 2012 already. In order to better understand which paradigms they used, which techniques they considered important and how much work they invested, the organisers of the contest compiled together a detailed list of questions (circa 50). This paper collects all answers to these questions as gi...

This is about the ninth edition of the Multi-Agent Programming Contest, an annual, community-serving competition that attracts groups from all over the world. Our contest enables head-to-head comparison of multi-agent systems and supports educational efforts in the design and implementation of such systems. This year we have generated a multitude of statistical data for each match and give a de...

We provide a brief description of the Jason-DTU system, including the methodology, the tools and the team strategy that we plan to use in the agent contest. Updated 1 October 2010: Appendix with comments on the contest added.

We provide a brief description of the Python-DTU system, including the overall design, the tools and the algorithms that we plan to use in the agent contest. Updated 1 October 2012: Appendix with comments on the contest added.

We provide a brief description of our Python-DTU system, including the overall design, the tools and the algorithms that we used in the Multi-Agent Programming Contest 2012, where the scenario was called Agents on Mars like in 2011. Our solution is an improvement of our Python-DTU system from last year. Our team ended in second place after winning at least one match against every opponent and w...

We introduce a multi-model variant of the EMT-based control algorithm. The new algorithm, MM-EMT, is capable of balancing several control tasks expressed using separate dynamic models with a common action space. Such multiple models are common in both single-agent environments, when the agent has multiple tasks to achieve, and in team activities, when agent actions affect both the local agent’s...

This paper describes an entry to the Multi-Agent Programming Contest 2008. The approach employs the pre-existing Agent Factory framework and extends this framework in line with experience gained from its use within the robotics domain.