OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models
Manuel Arias, Jorge Pérez-Martín, Manuel Luque, Francisco J. Díez
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Demos. Pages 6485-6487.
https://doi.org/10.24963/ijcai.2019/931
OpenMarkov is a Java open-source tool for creating and evaluating probabilistic graphical models, including Bayesian networks, influence diagrams, and some Markov models. With more than 100,000 lines of code, it offers some features for interactive learning, explanation of reasoning, and cost-effectiveness analysis, which are not available in any other tool. OpenMarkov has been used at universities, research centers, and large companies in more than 30 countries on four continents. Several models, some of them for real-world medical applications, built with OpenMarkov, are publicly available on Internet.
Keywords:
AI: Uncertainty in AI
AI: Programming for AI
AI: Machine Learning
Applications: Medical and healthcare