Knowledge-Based Systems

Chain event graphs (CEGs) are a recent family of probabilistic graphical models that generalise the popular Bayesian networks (BNs) family. In this paper, we present cegpy—the first Python implementation of CEGs and the first across all languages to support structurally asymmetric processes.