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The CLP(BN) Prolog System
CLP(BN) is a a novel approach that aims at
integrating Bayesian variables with the logic programming
framework. CLP(BN) relies on Yap as the underlying Prolog
engine. This page is currently being built, for now we have:
check here for an example of how to
program the PRM school example in CLP(BN) (old syntax).
check here for an example of how to
program a Markov model in CLP(BN). (old syntax)
check here for the current
CLP(BN) prototype (needs Yap with coroutining
installed. CLP(BN) can also use the
Bayes Net
Toolbox for Matlab) or a variable elimination algorithm written in
Prolog (default).