aGrUM 1.14.0
a C++ library for (probabilistic) graphical models
aGrUM a GRaphical Universal Model


aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes. It is written to provide the basic building blocks to perform the following tasks :

  • graphical model learning / elicitation,
  • inference within the graphical model,
  • planification.