Observatorio de I+D+i UPM

Descripción
This article proposes a MAS architecture for network diagnosis under uncertainty. Network diagnosis is divided into two inference processes: hypothesis generation and hypothesis con?rmation. The ?rst process is distributed among several agents based on a Multiply Sectioned Bayesian Network (MSBN), while the second one is carried out by agents using semantic reasoning. A diagnosis ontology has been de?ned in order to combine both inference processes. To drive the deliberation process, dynamic data about the in?uence of observable variables (data) are taken during diagnosis process. In order to achieve quick and reliable diagnoses, this in?uence is used to choose the best action to perform. This approach has been evaluated in a P2P video streaming scenario. Computational and time improvements are highlight as conclusions.
Internacional	Si
Nombre congreso	9th European Workshop on Multi-agent Systems (EUMAS 2011)
Tipo de participación	960
Lugar del congreso	Maastricht, The Netherlands
Revisores	Si
ISBN o ISSN
DOI
Fecha inicio congreso	14/11/2011
Fecha fin congreso	15/11/2011
Desde la página	11
Hasta la página	25
Título de las actas	Proceedings of the 9th European Workshop on Multi-agent Systems

Esta actividad pertenece a memorias de investigación

• Autor: Alvaro Carrera Barroso (UPM)
• Autor: Carlos Angel Iglesias Fernandez (UPM)

• Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
• Departamento: Ingeniería de Sistemas Telemáticos