The Multi-Agent Programming Contest: A r\'esum\'e
Tobias Ahlbrecht (1), J\"urgen Dix (1), Niklas Fiekas (1), Tabajara, Krausburg (1, 2) ((1) Department of Informatics, Clausthal University of, Technology, (2) School of Technology, Pontifical Catholic University of Rio, Grande do Sul)
TL;DR
The paper reviews the history, scenarios, and outcomes of the Multi-Agent Programming Contest (MAPC), highlighting its role in advancing decentralized autonomous agent systems and providing valuable benchmarks for research.
Contribution
It offers a comprehensive overview of MAPC's evolution, scenarios, and lessons learned, emphasizing its significance as a benchmark for multi-agent system development.
Findings
MAPC has evolved since 2005, providing complex scenarios for testing autonomous agents.
The 2019 MAPC demonstrated the contest's ongoing relevance and effectiveness.
Lessons learned inform future development of agent-based systems and benchmarks.
Abstract
The Multi-Agent Programming Contest, MAPC, is an annual event organized since 2005 out of Clausthal University of Technology. Its aim is to investigate the potential of using decentralized, autonomously acting intelligent agents, by providing a complex scenario to be solved in a competitive environment. For this we need suitable benchmarks where agent-based systems can shine. We present previous editions of the contest and also its current scenario and results from its use in the 2019 MAPC with a special focus on its suitability. We conclude with lessons learned over the years.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.