In this paper, an innovative approach to perform distributed Bayesian inference using a multi-agent architecture is presented. The final goal is dealing with uncertainty in network diagnosis, but the solution can be of applied in other fields. The validation testbed has been a P2P streaming video service. An assessment of the work is presented, in order to show its advantages when it is compared with traditional manual processes and other previous systems. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Carrera, Á., Gonzalez-Ordás, J., García-Algarra, J., Arozarena, P., & Garijo, M. (2011). A multi-agent system with distributed bayesian reasoning for network fault diagnosis. In Advances in Intelligent and Soft Computing (Vol. 88, pp. 113–118). https://doi.org/10.1007/978-3-642-19875-5_15
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