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

175 Downloads (Pure)

Abstract

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
Volume84
Issue number1-2
Pages (from-to)57–74
ISSN1012-2443
DOIs
Publication statusPublished - 2018

Keywords

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

Fingerprint

Dive into the research topics of 'Engineering a Multi-Agent System in Jason and CArtAgO'. Together they form a unique fingerprint.

Cite this