Active Inference · Paper · 2026

GeneralizedNotationNotation (GNN)

Zenodo

Catalog Row168
Citation KeyFriedman2026GeneralizedNotationNotationGNN168
Paper FolderAvailable

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.

active inferencegenerative modelscognitive modelingnotation systemreproducibilitycomputational neurosciencebayesian inferencestandardsgnnpython

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • active inference
  • generative models
  • cognitive modeling
  • notation system
  • reproducibility
Methods / Techniques
  • Not yet summarized.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. GeneralizedNotationNotation (GNN). Zenodo.

Primary source Documentation BibTeX

Related in Active Inference

Other catalogued works in the same domain.