Generalized Notation Notation for Active Inference Models

Catalog Row56

Citation KeyFriedman2023GeneralizedNotationNotationActive056

Paper FolderAvailable

Platform availability

✅ Zenodo
⬜ GitHub
⬜ arXiv
⬜ OSF
⬜ HuggingFace
⬜ Software Heritage
⬜ PyPI
✅ Full documentation

Overview

Extracted from the local paper documentation when available.

Generalized Notation Notation (GNN) is a framework for representing, translating between, and reasoning about diverse notational systems. GNN provides meta-notational tools for describing any symbolic system, enabling formal comparison and interoperability across mathematical, scientific, and computational notations. The framework supports automated notation analysis and cross-system translation.

GNNGeneralized Notation Notationmeta-notationsymbolic systemsnotation translationformal representationinteroperability

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

introduces Generalized Notation Notation (GNN), a novel approach to generative model representation that facilitates communication, understanding, and application of Active Inference across various domains..
GNN complements the Active Inference Ontology as a flexible and expressive language for education and modeling, by providing a standardized method for describing cognitive models..
In this paper we introduce GNN, and provide a Step-by-Step example of what GNN looks like in practice..

Methods / Techniques

Generalized Notation Notation (GNN) schema design
Graph-based knowledge representation

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2023. Generalized Notation Notation for Active Inference Models. Zenodo. DOI: 10.5281/zenodo.7803327. URL: https://doi.org/10.5281/zenodo.7803327.

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