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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Veröffentlicht in:	Annals of mathematics and artificial intelligence Jg. 84; H. 1-2; S. 75 - 93
Hauptverfasser:	Cardoso, Rafael C., Krausburg, Tabajara, Baségio, Túlio, Engelmann, Débora C., Hübner, Jomi F., Bordini, Rafael H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.10.2018 Springer Springer Nature B.V
Schlagworte:	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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Abstract	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.
AbstractList	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. 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. Keywords Multi-agent programming contest * Decentralized multi-agent systems * Agents in the City * JaCaMo Mathematics Subject Classification (2010) 68T42
Audience	Academic
Author	Bordini, Rafael H. Baségio, Túlio Hübner, Jomi F. Cardoso, Rafael C. Krausburg, Tabajara Engelmann, Débora C.
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References	Bordini, Hübner, Wooldridge (CR4) 2007 CR2 Cardoso, Pereira, Krzisch, Magnaguagno, Basegio, Meneguzzi (CR5) 2018; 6 Hübner, Sichman, Boissier (CR7) 2007; 1 Zatelli, de Brito, Schmitz, Morato, de Souza, Uez, Hübner (CR15) 2013 CR3 CR6 CR9 CR13 CR12 CR11 CR10 Ahlbrecht, Dix, Fiekas (CR1) 2018; 6 Omicini, Ricci, Viroli (CR8) 2008; 17 Smith (CR14) 1980; 29 A Omicini (9584_CR8) 2008; 17 MR Zatelli (9584_CR15) 2013 9584_CR6 9584_CR9 RH Bordini (9584_CR4) 2007 RC Cardoso (9584_CR5) 2018; 6 JF Hübner (9584_CR7) 2007; 1 9584_CR13 9584_CR3 9584_CR11 9584_CR2 9584_CR12 T Ahlbrecht (9584_CR1) 2018; 6 9584_CR10 RG Smith (9584_CR14) 1980; 29
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SubjectTerms	Artificial Intelligence Complex Systems Computer Science Contests Digital mapping Mathematics Multiagent systems Programming Teams
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Title	SMART-JaCaMo: an organization-based team for the multi-agent programming contest
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