Memorias de investigación
Communications at congresses:
A Modular Agent Architecture for Optimising Hypothesis con?rmation cost in Network Diagnosis
Year:2011

Research Areas
  • Telematics

Information
Abstract
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.
International
Si
Congress
9th European Workshop on Multi-agent Systems (EUMAS 2011)
960
Place
Maastricht, The Netherlands
Reviewers
Si
ISBN/ISSN
Start Date
14/11/2011
End Date
15/11/2011
From page
11
To page
25
Proceedings of the 9th European Workshop on Multi-agent Systems
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos