ABSTRACT
The purpose of this chapter is to exhibit a first means to combine descriptions with one another in order to incrementally build more and more sophisticated probabilistic models. This is obtained by including in the decomposition calls to Bayesian subroutines. We show that, as in standard programming, it is possible to use existing probabilistic models to build more complex ones and to further structure the definition of complex descriptions as some reusability of previously defined models is possible.
