OpenMarkov is an open-source software application designed to create, analyze, and interpret probabilistic graphical models. These include bayesian_network, influence diagrams, and decision analysis models. It serves as a powerful tool for decision-making, risk analysis, and diagnosis, enabling users to model uncertainty and explore complex relationships in various domains.

• GitHub Repository: Access source code, report issues, or contribute to the project.

• Probabilistic Graphical Models Course: An in-depth course on the concepts behind tools like OpenMarkov.
• Books on Bayesian Networks: Comprehensive references for probabilistic reasoning and Bayesian inference.

• GeNIe: A graphical tool for Bayesian network modeling, often used in tandem with OpenMarkov.
• Netica: Another tool for probabilistic modeling and decision analysis.