B2DI - A Bayesian BDI Agent Model with Causal Belief Updating based on MSBN

Álvaro Carrera, Carlos A. Iglesias

2012

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.

References

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Paper Citation


in Harvard Style

Carrera Á. and A. Iglesias C. (2012). B2DI - A Bayesian BDI Agent Model with Causal Belief Updating based on MSBN . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-96-6, pages 343-346. DOI: 10.5220/0003746003430346


in Bibtex Style

@conference{icaart12,
author={Álvaro Carrera and Carlos A. Iglesias},
title={B2DI - A Bayesian BDI Agent Model with Causal Belief Updating based on MSBN},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2012},
pages={343-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003746003430346},
isbn={978-989-8425-96-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - B2DI - A Bayesian BDI Agent Model with Causal Belief Updating based on MSBN
SN - 978-989-8425-96-6
AU - Carrera Á.
AU - A. Iglesias C.
PY - 2012
SP - 343
EP - 346
DO - 10.5220/0003746003430346