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Memorias de investigación
Ponencias en congresos:
A Modular Agent Architecture for Optimising Hypothesis con?rmation cost in Network Diagnosis
Año:2011
Áreas de investigación
  • Telemática
Datos
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
Participantes
  • Autor: Alvaro Carrera Barroso (UPM)
  • Autor: Carlos Angel Iglesias Fernandez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos
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