Hello Julian Russell,

Another solution, which keeps a compact network form, is based on
iterative inferences. Indeed, it is possible to compute the
probability distribution of any variable at time step k+1 based on the
probabilities corresponding to time step k. The probability
distributions at time step k+2� are computed using successive
inferences (Welch and Thelen 2000, Weber and Jouffe 2003). Then a
network with only two time slices is defined this networks is called
2-TBN (Boyen and Koller 1998). The first slice contains the nodes
corresponding to the current time step (k), the second one those of
the following time step (k+1).

You can try using BayesiaLab ( http://www.bayesia.com/ ) this software
allows 2TBN model.

WEBER Philippe

Ref:

Boyen X. and Koller D. (1998) Tractable for Complex Stochastic
Processes. Proceedings of the 14th Annual Conference on Uncertainty in
AI (UAI), Madison, Wisconsin, July 1998, pages 33--42.

Weber P., L. Jouffe (2003). Reliability modelling with Dynamic
Bayesian Networks. 5th IFAC Symposium on Fault Detection, Supervision
and Safety of Technical Processes (SAFEPROCESS'03), Washington, D.C.,
USA, June 9-11.

Welch R. and T. Thelen (2000). Dynamic reliability analysis in an
operational context: the Bayesian network perspective. In Dynamic
reliability: future directions. Edited by: C. Smidts, J. Devooght and
P.E. Labeau, ISBN 0 9652669 3 1, Maryland, USA.



Julian Russell a �crit :

> There appears to be a class of problem that BN's are not designed to
> solve. These are problems involving (probabilistic) simulation of two
> player games where cycles are required to be followed to calculate the
> probability of nodes that effectively have circular references. The
> program Netica does a clever kludge by simply duplicating the whole
> network for solving iterations of this kind. I suspect that there may be
> other ways such as enforcing timing limitations on calculation.
>
> Does anybody have any other ideas on how to use a BN in the context of
> 'two player games' to solve the circular reference problem?
>
> Regards,
> Julian Russell
> USQ

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CRAN - CNRS UMR 7039
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