Abstract
Systems that are subject to uncertainty in their behaviour
are often modelled by Bayesian Belief Networks (BBNs).
These are probabilistic models of the system in which the
independence relations between the variables of interest are
represented explicitly. A directed graph is used, in which
two nodes are connected by an edge if one is a 'direct cause'
of the other.
However the Bayesian paradigm does not provide any
direct means for modelling dynamic systems. There has
been a considerable amount of research effort in recent
years to address this. In this paper, we review these
approaches and propose a new dynamic extension to the
BBN.
Our discussion then focuses on fault management of
complex telecommunications and how the dynamic
bayesian models can assist in the prediction of faults.
are often modelled by Bayesian Belief Networks (BBNs).
These are probabilistic models of the system in which the
independence relations between the variables of interest are
represented explicitly. A directed graph is used, in which
two nodes are connected by an edge if one is a 'direct cause'
of the other.
However the Bayesian paradigm does not provide any
direct means for modelling dynamic systems. There has
been a considerable amount of research effort in recent
years to address this. In this paper, we review these
approaches and propose a new dynamic extension to the
BBN.
Our discussion then focuses on fault management of
complex telecommunications and how the dynamic
bayesian models can assist in the prediction of faults.
Original language | English |
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Title of host publication | IEEE SMC 2000 Conference Proceedings |
Place of Publication | doi:10.1109/ICSMC.2000.886576 |
Publisher | IEEE |
Pages | 3646-3652 |
Number of pages | 7 |
Volume | Vol. 5 |
DOIs | |
Publication status | Published (in print/issue) - Oct 2000 |
Event | IEEE International Conference on Systems, Man and Cybernetics - Nashville, Tennessee, USA Duration: 1 Oct 2000 → … |
Conference
Conference | IEEE International Conference on Systems, Man and Cybernetics |
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Period | 1/10/00 → … |
Keywords
- dynamic bayesian belief networks
- telecommunication networks
- fault management
- intelligent systems