Team PUCRS: a Decentralised Multi-Agent Solution for the Agents in the City Scenario

Rafael C Cardoso; Ramon Fraga Pereira; Guilherme Krzisch; Mauricio C Magnaguagno; Túlio Baségio; Felipe Meneguzzi

doi:10.1504/IJAOSE.2018.089595

Team PUCRS: a Decentralised Multi-Agent Solution for the Agents in the City Scenario

Rafael C Cardoso, Ramon Fraga Pereira, Guilherme Krzisch, Mauricio C Magnaguagno, Túlio Baségio, Felipe Meneguzzi

Research output: Contribution to journal › Article › peer-review

Abstract

The 2016 edition of the multi-agent programming contest used the agents in the city as its new scenario, which consisted on the execution of various logistics tasks within a realistic city topology using a number of different vehicle types. The complexity of the scenario and variety of tasks posed a challenging problem suitable for a decentralised multi-agent solution. In this paper we describe the winning solution for the contest, providing insights into how we designed our solution and organised our team, as well as some discussion on a few of our matches.

Original language	English
Pages (from-to)	3-34
Number of pages	32
Journal	International Journal of Agent-Oriented Software Engineering
Volume	6
Issue number	1
DOIs	https://doi.org/10.1504/IJAOSE.2018.089595
Publication status	Published - 2 Feb 2018

Keywords

multi-agent programming contest
MAPC
decentralised multi-agent systems
agents in the city
contract net protocol
CNP
JaCaMo

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10.1504/IJAOSE.2018.089595

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abstract = "The 2016 edition of the multi-agent programming contest used the agents in the city as its new scenario, which consisted on the execution of various logistics tasks within a realistic city topology using a number of different vehicle types. The complexity of the scenario and variety of tasks posed a challenging problem suitable for a decentralised multi-agent solution. In this paper we describe the winning solution for the contest, providing insights into how we designed our solution and organised our team, as well as some discussion on a few of our matches.",

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AU - Magnaguagno, Mauricio C

AU - Baségio, Túlio

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Team PUCRS: a Decentralised Multi-Agent Solution for the Agents in the City Scenario

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Keywords

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