Examinando por Materia "INTELIGENCIA ARTIFICIAL DISTRIBUIDA"

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    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 - GRID
    A 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
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    Ítem
    Sistemas multiagente colaborativos 
    (Universidad EAFIT, 2010) Zapata Rivera, Luis Felipe; Zapata Rivera, Juan Diego
    Este proyecto examina el área de los sistemas multiagente colaborativos -- El proyecto describe seis simulaciones de sistemas multiagente -- Cada simulación representa un tipo de esquema de colaboración y comunicación diferente -- Los resultados de las simulaciones son analizados y comparados -- El proyecto también describe la implementación en hardware de un prototipo de sistema multiagente correspondiente a una de las simulaciones utilizando la plataforma Lego MindStorms