B2DI a bayesian BDI agent model with causal belief updating based on MSBN

Carrera Barroso, Alvaro and Iglesias Fernandez, Carlos Angel (2012). B2DI a bayesian BDI agent model with causal belief updating based on MSBN. In: "4th International Conference on Agents and Artificial Intelligence (ICAART2012)", 06/02/2012 - 08/02/2012, Vilamoura, Algarve, Portugal. pp. 343-346.

Description

Title: B2DI a bayesian BDI agent model with causal belief updating based on MSBN
Author/s:
  • Carrera Barroso, Alvaro
  • Iglesias Fernandez, Carlos Angel
Item Type: Presentation at Congress or Conference (Article)
Event Title: 4th International Conference on Agents and Artificial Intelligence (ICAART2012)
Event Dates: 06/02/2012 - 08/02/2012
Event Location: Vilamoura, Algarve, Portugal
Title of Book: 4th International Conference on Agents and Artificial Intelligence (ICAART2012)
Date: 2012
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, we introduce B2DI model that extends BDI model to perform Bayesian inference under uncertainty. For scalability and flexibility purposes, Multiply Sectioned Bayesian Network (MSBN) technology has been selected and adapted to BDI agent reasoning. A belief update mechanism has been defined 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 significant improvements in the cost and time required to carry out a reliable diagnosis.

More information

Item ID: 22824
DC Identifier: https://oa.upm.es/22824/
OAI Identifier: oai:oa.upm.es:22824
Deposited by: Memoria Investigacion
Deposited on: 16 Mar 2014 10:18
Last Modified: 21 Apr 2016 20:30
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