The Multi-Agent Programming Contest: A Résumé
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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 MAPCwith a special focus on its suitability. We conclude with lessons learned over the years.
KeywordsMulti-agent systems Decentralized computing Cooperation Artificial intelligence Simulation platforms
The authors would like to thank Alfred Hofmann from Springer for his continuous support right from the beginning, and for endowing the prize of 500 Euros in Springer books.
Also, we extend our gratitude to all anonymous reviewers who helped us make improvements to this paper.
The fourth author acknowledges that his part in this study was financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001.
Last but not least, we thank all teams that entered our Contest in the last 15 years and helped to keep it alive. The second author sends a special thank you to some former PhD students in his group: Peter Novák, Tristan Behrens, Federico Schlesinger, and Michael Köster. Without their ideas and enthusiasm, the MAPCwould not have flourished.
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