aGrUM : a Graphical Unified Model
aGrUM is a C++ library designed for easily manipulating graphical models. Its range of applications is quite large as it is designed, e.g., for performing learning tasks (for instance, learning Bayes nets from data), planning tasks (FMDPs) and inference (Bayes nets, GAI-nets, influence diagrams).
Project Leader : Christophe GONZALES & Pierre-Henri WUILLEMIN