Engineering a Multi-Agent System in Jason and CArtAgO

Jørgen Villadsen*, Oliver Fleckenstein, Helge Hatteland, John Bruntse Larsen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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This paper presents the overall strategy utilized by Jason-DTU to achieve a shared second place in the annual Multi-Agent Programming Contest. It provides an overview of the implementation details considering perception, task handling, agent logic and more. The paper analyzes the team’s results in each match, and is summarized by evaluating strengths and weaknesses of the proposed multi-agent system.
Original languageEnglish
JournalAnnals of Mathematics and Artificial Intelligence
Issue number1-2
Pages (from-to)57–74
Publication statusPublished - 2018


  • Multi-agent programming contest 2017
  • Multi-agent systems
  • Agents in the city
  • Jason
  • CArtAgO


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