A constraint-based approach to incorporate prior knowledge in causal models
Giorgos Borboudakis, Sofia Triantafilou, Vincenzo Lagani, Ioannis Tsamardinos · The European Symposium on Artificial Neural Networks · 2011
In this paper we address the problem of incorporating prior knowledge, in the form of causal relations, in causal models. Prior ap- proaches mostly consider knowledge about the presence or absence of edges in the model. We use the formalism of Maximal Ancestral Graphs (MAGs) and adapt cSAT+ to solve this problem, an algorithm for reasoning with datasets defined over different variable sets.