Engineering a Multi-Agent System in Jason and CArtAgO

Publication: Research - peer-reviewJournal article – Annual report year: 2018

DOI

View graph of relations

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
Pages (from-to)1–18
ISSN1012-2443
DOIs
StateAccepted/In press - 2018
CitationsWeb of Science® Times Cited: No match on DOI

    Keywords

  • Multi-agent programming contest 2017, Multi-agent systems , Agents in the city, Jason , CArtAgO
Download as:
Download as PDF
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
Word

ID: 149220807