Examinando por Autor "Fischer Estia, Xavier"
Mostrando 1 - 1 de 1
Resultados por página
Opciones de ordenación
Ítem Knowledge modelling for supporting decision making in optimal distributed design process(IEEE, 2007-12-02) Mejía Gutiérrez, Ricardo; Fischer Estia, Xavier; Bennis, Fouad; Universidad EAFIT. Departamento de Ingeniería de Diseño; Ricardo Mejia (rmejiag@eafit.edu.co); Ingeniería de Diseño - GRIDA methodology for distributed knowledge modeling will be presented in this article, in order to contribute to a better decision making during design problems analysis -- An optimal design process refers to setting up coherent numerical models and it requires a well structured problem definition -- However, a lack of downstream information in early stages of product development leads to a complicated elicitation task that became an issue due to nowadays distributed environments -- A Multi-Agent approach is proposed to support the distributed knowledge elicitation process -- A set of agents will guide members from the distributed design team, throughout the product life cycle, to extract relevant information and analyze it -- The interaction among agents will highlight potential incoherencies during the modeling process, in order to enable partners to avoid inconsistent information -- A coherent knowledge base is then constructed and ready to be used to create models to be analyzed by traditional inference engines such as optimization solvers,constraint satisfaction programming, etc