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Ponencias en congresos:
B2DI A Bayesian BDI Agent Model with Causal Belief Updating based on MSBN
Año:2012
Áreas de investigación
  • Ingenierías
Datos
Descripción
In this paper, we introduce B2DI model that extends BDI model to perform Bayesian inference under uncertainty. For scalability and ?exibility purposes, Multiply Sectioned Bayesian Network (MSBN) technology has been selected and adapted to BDI agent reasoning. A belief update mechanism has been de?ned for agents, whose belief models are connected by public shared beliefs, and the certainty of these beliefs is updated based on MSBN. The classical BDI agent architecture has been extended in order to manage uncertainty using Bayesian reasoning. The resulting extended model, so-called B2DI, proposes a new control loop. The proposed B2DI model has been evaluated in a network fault diagnosis scenario. The evaluation has compared this model with two previously developed agent models. The evaluation has been carried out with a real testbed diagnosis scenario using JADEX. As a result, the proposed model exhibits signi?cant improvements in the cost and time required to carry out a reliable diagnosis.
Internacional
Si
Nombre congreso
4th International Conference on Agents and Arti?cial Intelligence (ICAART2012)
Tipo de participación
960
Lugar del congreso
VILAMOURA, ALGARVE, PORTUGAL
Revisores
Si
ISBN o ISSN
978-989-8425-96-6
DOI
Fecha inicio congreso
06/02/2012
Fecha fin congreso
08/02/2012
Desde la página
343
Hasta la página
346
Título de las actas
Proceedings of the 4th International Conference on Agents and Arti?cial Intelligence (ICAART2012)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Carlos Angel Iglesias Fernandez (UPM)
  • Autor: Alvaro Carrera Barroso (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ingeniería de Sistemas Telemáticos
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