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Artículo
Multiple intelligences in a MultiAgent System applied to telecontrol
Autor/es | 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 de publicación | 2014 |
Fecha de depósito | 2017-06-14 |
Publicado en |
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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 ... 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. |
Agencias financiadoras | Junta de Andalucía |
Identificador del proyecto | P08-TIC-03862 |
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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Multiple intelligences.pdf | 3.739Mb | [PDF] | Ver/ | |