Overview
Extracted from the local paper documentation when available.
Generalized Notation Notation (GNN) is a text-based language designed to standardize the representation and communication of Active Inference generative models. It aims to enhance clarity, reproducibility, and interoperability in the field of Active Inference and cognitive modeling. GNN provides a structured way to describe complex models, making them human-readable and machine-parsable. It supports a "Triple Play" approach: text-based models, graphical model visualizations, and a blueprint for executable cognitive models.
Use Notes
Concise findings and methods pulled from README/SKILL documentation.
Citation
Plain-text citation for quick reuse.
Related in Active Inference
Other catalogued works in the same domain.