One backward inference algorithm in bayesian networks

Authors:
Jianguo Ding;Jun Zhang;Yingcai Bai;Hansheng Chen
Affiliations:
Shanghai Jiao Tong University, Shanghai, P.R. China;Shanghai Jiao Tong University, Shanghai, P.R. China;Shanghai Jiao Tong University, Shanghai, P.R. China;East-china Institute of Computer Technology, Shanghai, P.R. China
Venue:
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Year:
2004

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Abstract

When a complex information system is modelled by a Bayesian network the backward inference is normal requirement in system management. This paper proposes one inference algorithm in Bayesian networks, which can track the strongest causes and trace the strongest routes between particular effects and their causes. This proposed algorithm will become the foundation for further intelligent decision in management of information systems.