Probabilistic Inference and Monadic Second Order Logic
Abstract
This paper combines two classic results from two different fields: the
result by Lauritzen and Spiegelhalter [21] that the probabilistic
inference problem on probabilistic networks can be solved in linear time
on networks with a moralization of bounded treewidth, and the result by
Courcelle [10] that problems that can be formulated in counting monadic
second order logic can be solved in linear time on graphs of bounded
treewidth. It is shown that, given a probabilistic network whose
moralization has bounded treewidth and a property P of the network and
the values of the variables that can be formulated in counting monadic
second order logic, one can determine in linear time the probability
that P holds.
Domains
Computer Science [cs]Origin | Files produced by the author(s) |
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