SMART-JaCaMo: an organization-based team for the multi-agent programming contest

The Multi-Agent Programming Contest in 2017 expanded upon the Agents in the City scenario used in the 2016 edition of the contest. In the Agents in the City contest, two teams compete to accomplish logistic tasks in simulations using realistic city maps from OpenStreetMap. The new version of the sce...

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Vydáno v:Annals of mathematics and artificial intelligence Ročník 84; číslo 1-2; s. 75 - 93
Hlavní autoři: Cardoso, Rafael C., Krausburg, Tabajara, Baségio, Túlio, Engelmann, Débora C., Hübner, Jomi F., Bordini, Rafael H.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cham Springer International Publishing 01.10.2018
Springer
Springer Nature B.V
Témata:
Artificial Intelligence
Complex Systems
Computer Science
Contests
Digital mapping
Mathematics
Multiagent systems
Programming
Teams
JaCaMo
68T42
Decentralized multi-agent systems
Multi-agent programming contest
Agents in the City
ISSN:1012-2443, 1573-7470
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Shrnutí:The Multi-Agent Programming Contest in 2017 expanded upon the Agents in the City scenario used in the 2016 edition of the contest. In the Agents in the City contest, two teams compete to accomplish logistic tasks in simulations using realistic city maps from OpenStreetMap. The new version of the scenario shifted emphasis to include jobs that require assembled items, new types of facilities, and larger teams, resulting in a significantly more complex scenario than before. In this paper, we describe the strategies used by our team, highlighting our adaptations and any new additions from our participation in the previous year. One such new addition, is that now we have fully explored the use of all three programming dimensions (agent, environment, and organization) found in JaCaMo, the multi-agent system development platform that we used to implement our team. We also provide some discussion and analysis on what we believe were some of our most influential matches.
Bibliografie:ObjectType-Article-1
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ISSN:1012-2443
1573-7470
DOI:10.1007/s10472-018-9584-z