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dc.contributor.authorCuriel Herrera, Leticia Elena 
dc.contributor.authorHerrero Cosío, Álvaro 
dc.contributor.authorCorchado, Emilio 
dc.contributor.authorBravo Díez, Pedro Miguel 
dc.date.accessioned2024-07-16T10:57:06Z
dc.date.available2024-07-16T10:57:06Z
dc.date.issued2005
dc.identifier.urihttp://hdl.handle.net/10259/9394
dc.descriptionTrabajo presentado en: 4th International Workshop on Practical Applications of Agents and Multiagent Systems (IWPAAMS), realizado el 20 y 21 de octubre de 2005, en Leónes
dc.description.abstractThe purpose of this study is the optimization of drilling tasks in the construction of big auto-carrier storage warehouses. This is carried out by applying different Artificial Intelligence (AI) techniques: a cooperative unsupervised connectionist model (focused on the detection of some optimal drilling conditions) and software agents. These agents can collaborate to save drilling time and waste by interchanging information about the conditions of drill bits and the kind of material to be drilled.en
dc.description.sponsorshipThis research has been supported by the McyT project TIN2004-07033 and the project BU008B05 of the JCyL.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherUniversidad de León. Servicio de Publicacioneses
dc.relation.ispartof4th International workshop on practical applications of agents and multiagent systems, p. 199-205es
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.subject.otherIndustriaes
dc.subject.otherIndustryen
dc.subject.otherInteligencia artificiales
dc.subject.otherArtificial intelligenceen
dc.titleCollaborative agents for drilling optimisation tasks using an unsupervised connectionist modelen
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://dialnet.unirioja.es/servlet/libro?codigo=959658es
dc.page.initial199es
dc.page.final205es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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