Resumen de Combining multiple directed graphical representations into a single probabilistic model

Enrique Castillo Ron , José Manuel Gutiérrez Llorente , Ali S. Hadi

• In this paper we deal with the problem of combining the knowledge of multiple human experts into a single probabilistic model. More specifically, we analyze how to combine the information contained in a set of directed acyclic graphs (a set of casual models) into a single probabilistic structure. In particular, we show that, in cases where there exists an ancestral ordering of the variables compatible with all the graphs, the resulting probabilistic structure is given by a set of conditional probability distributions obtained from the topology of the intersection network.