GeNIe Modeler is a graphical user interface (GUI) software for constructing, learning, and analyzing probabilistic graphical models, including Bayesian networks, influence diagrams, and dynamic Bayesian networks (DBNs). It is designed for interactive model building and supports both discrete and continuous variables, as well as systems of equations for dynamic modeling. GeNIe is widely used in academia and industry for decision analysis, diagnostics, risk assessment, and temporal modeling. The software is compatible with Windows and can be run on macOS and Linux via Wine. It emphasizes modeling flexibility, supporting a wide range of model types and algorithms, including exact and approximate inference, simulation, and diagnostic tools.

Key Features

Graphical Model Editor Interactive environment for building and editing network models.

• Drag-and-drop interface for nodes and connections.
• Supports Bayesian networks, influence diagrams, and DBNs.

Dynamic Bayesian Networks (DBNs) Model temporal processes and systems with time-dependent variables.

• Allows continuous and discrete temporal nodes.
• Supports systems of equations and simulation-based solutions.

Influence Diagrams and Decision Analysis Tools for modeling decisions, utilities, and multi-attribute utility functions.

• Decision and utility nodes with arbitrary functions.
• Value of information calculations and diagnostic ranking.

Compatibility and Integration Works with major Bayesian network file formats and external data.

• Imports/exports Hugin, Netica, Ergo, and other formats.
• GIS raster data support for spatial modeling.

Advanced Inference and Simulation Suite of algorithms for exact and approximate inference.

• Stochastic sampling for complex models.
• Most Probable Explanation (MPE) and bulk update features.

Case Management and Evidence Handling Manage multiple evidence sets and scenarios.

• Save, retrieve, and compare evidence cases.
• Full Unicode support for internationalization.

Benefits

Modeling Flexibility Supports a wide range of probabilistic and decision models.

• Adapts to diverse domains and research needs.
• Enables both static and dynamic modeling.

Efficient Analysis and Diagnostics Advanced tools for inference, simulation, and diagnostics.

• Facilitates risk assessment and decision support.
• Ranks diagnostic tests and questions by value of information.

Cross-Platform and Interoperability Runs on Windows, macOS, and Linux (via Wine).

• Integrates with other modeling tools and data sources.
• Supports batch processing and GIS data.