Engineering a Multi-Agent System in Jason and CArtAgO

Research output: Contribution to journalJournal article – Annual report year: 2018Researchpeer-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
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

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

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ID: 149220807