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Multiple intelligences in a MultiAgent System applied to telecontrol

 

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Autor: Oviedo Olmedo, David
Romero Ternero, María del Carmen
Hernández Velázquez, María Dolores
Sivianes Castillo, Francisco
Carrasco Muñoz, Alejandro
Escudero Fombuena, José Ignacio
Departamento: Universidad de Sevilla. Departamento de Tecnología Electrónica
Fecha: 2014
Publicado en: Expert Systems with Applications, 41 (15), 6688-6700.
Tipo de documento: Artículo
Resumen: This paper presents a control system, based on artificial intelligence technologies, that implements multiple intelligences. This system aims to support and improve automatic telecontrol of solar power plants, by either automatically triggering actuators or dynamically giving recommendations to human operators. For this purpose, the development of a MultiAgent System is combined with a variety of inference systems, such as Expert Systems, Neural Networks, and Bayesian Networks. This diversity of intelligent technologies is shown to result in an efficient way to mimic the reasoning process in human operators.
Cita: Oviedo Olmedo, D., Romero Ternero, M.d.C., Hernández Velázquez, M.D., Sivianes Castillo, F., Carrasco Muñoz, A. y Escudero Fombuena, J.I. (2014). Multiple intelligences in a MultiAgent System applied to telecontrol. Expert Systems with Applications, 41 (15), 6688-6700.
Tamaño: 3.739Mb
Formato: PDF

URI: http://hdl.handle.net/11441/61285

DOI: 10.1016/j.eswa.2014.04.048

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