Observatorio de I+D+i UPM

Memorias de investigación
Capítulo de libro:
Improving Diagnosis Agents with Hybrid Hypotheses Confirmation Reasoning Techniques
Año:2012
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: hypotheses generation and hypotheses confirmation. The first process is distributed among several agents based on a (MSBN), while the second one is carried out by agents using semantic reasoning. A diagnosis ontology has been defined in order to combine both reasoning processes. To drive the deliberation process, the strength of influence obtained from (CDF) method is used during diagnosis process. In order to achieve quick and reliable diagnoses, this influence 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 highlighted as conclusions.
Internacional
Si
DOI
10.1007/978-3-642-34799-3_4
Edición del Libro
Editorial del Libro
Springer Verlag
ISBN
978-3-642-34798-6
Serie
Lecture Notes in Computer Science
Título del Libro
Multi-Agent Systems
Desde página
48
Hasta página
62
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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