2019
DOI: 10.18845/tm.v32i1.4118
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A Multi-Agent System Framework for Miniaturized Satellite

Abstract: El desarrollo de nuevas misiones satelitales se enfrenta a un incremento en la complejidad del software a bordo. Las próximas generaciones de satélites pequeños deben habilitar la infraestructura para la implementación de algoritmos a bordo concurrentes y deterministas para la coordinación y el control de la misión. Las arquitecturas basadas en multi agentes son un nuevo enfoque de desarrollo adoptado en el campo de la ingeniería de software debido a su flexibilidad, escalabilidad y adaptabilidad a entornos op… Show more

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Cited by 2 publications
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“…The base version of the MAES Framework contains four main classes: Agent class, Agent Message class, Agent Platform class, and Behaviour-related classes, as described by Chang-Zheng [5]. Thus, in order to bring out the capabilities of inter-platform agent communication, this section describes the extension of the Agent Message and Agent Platform classes, and it adds the Communication class to the already existing MAES library.…”
Section: Agent Platform and Agent Message Classes Extensionmentioning
confidence: 99%
See 1 more Smart Citation
“…The base version of the MAES Framework contains four main classes: Agent class, Agent Message class, Agent Platform class, and Behaviour-related classes, as described by Chang-Zheng [5]. Thus, in order to bring out the capabilities of inter-platform agent communication, this section describes the extension of the Agent Message and Agent Platform classes, and it adds the Communication class to the already existing MAES library.…”
Section: Agent Platform and Agent Message Classes Extensionmentioning
confidence: 99%
“…The design and implementation of the MAES framework were carried out by Chan-Zheng et al [5]. The development started as a result of the need in the science community to have a tool that fills the gap between real-time operating systems and multi-agent systems used for satellite applications.…”
Section: Introductionmentioning
confidence: 99%