The aim of the article is to critically reassess relation between moral and economy of agents from the poorest class. The relational concept of the poorest class designates here homeless, drug-users, and some poor individuals generally that all have common particular social practices on the one hand and a position within of the social space on the other hand.
In the framework of models generated by compositional expressions, we solve two topical marginalization problems (namely, the \emph{single-marginal problem} and the \emph{marginal-representation problem}) that were solved only for the special class of the so-called "canonical expressions". We also show that the two problems can be solved "from scratch" with preliminary symbolic computation.
Efficient computational algorithms are what made graphical Markov models so popular and successful. Similar algorithms can also be developed for computation with compositional models, which form an alternative to graphical Markov models. In this paper we present a theoretical basis as well as a scheme of an algorithm enabling computation of marginals for multidimensional distributions represented in the form of compositional models.