Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/9394
Título
Collaborative agents for drilling optimisation tasks using an unsupervised connectionist model
Publicado en
4th International workshop on practical applications of agents and multiagent systems, p. 199-205
Editorial
Universidad de León. Servicio de Publicaciones
Fecha de publicación
2005
Descripción
Trabajo presentado en: 4th International Workshop on Practical Applications of Agents and Multiagent Systems (IWPAAMS), realizado el 20 y 21 de octubre de 2005, en León
Abstract
The 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.
Materia
Informática
Computer science
Industria
Industry
Inteligencia artificial
Artificial intelligence
Versión del editor
Aparece en las colecciones
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