@conference{CarreraIAT2011,
author = "Carrera Barroso, {\'A}lvaro and Iglesias, Carlos A.",
abstract = "This  article  proposes  a  MAS  architecture  for network  diagnosis  under  uncertainty.  Network diagnosis  is divided  into  two  inference processes:  hypothesis  generation and  hypothesis  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 inference processes.

To drive the deliberation process, dynamic data about the influence  of  observations  are  taken  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 highlight as conclusions.",
address = "Lyon, France",
booktitle = "2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)",
doi = "10.1109/WI-IAT.2011.106",
isbn = "978-1-4577-1373-6 ",
keywords = "agent;bayesian;ontology;diagnosis;network",
month = "August",
organization = "IEEE",
pages = "159-162",
publisher = "IEEE",
title = "{M}ulti-agent {A}rchitecture for {H}eterogeneous {R}easoning under {U}ncertainty {C}ombining {MSBN} and {O}ntologies in {D}istributed {N}etwork {D}iagnosis",
url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6040771",
volume = "2",
year = "2011",
}