# 🧠 Generalized Notation Notation for Active Inference Models

**Daniel A. Friedman** (2023) · *Zenodo*

[![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.7803328-blue)](https://doi.org/10.5281/zenodo.7803328)

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## Abstract

> This paper introduces Generalized Notation Notation (GNN), a novel approach to generative model representation that enhances communication and understanding of Active Inference across various domains. GNN serves as a flexible and expressive language for modeling cognitive processes, aiming to facilitate interdisciplinary research and application.

## Keywords

`GNN` · `Generalized Notation Notation` · `meta-notation` · `symbolic systems` · `notation translation` · `formal representation` · `interoperability`

## Key Contributions

- Introduction of Generalized Notation Notation (GNN) for cognitive model representation.
- Provision of a Step-by-Step example demonstrating GNN in practice.
- Exploration of 'the Triple Play' approach for expressing GNN in linguistic, visual, and executable models.
- Bridging gaps among different modeling settings to promote interdisciplinary collaboration.

## Methods

- Development of GNN as a standardized language for describing Active Inference models.
- Utilization of ASCII letters and punctuation structured in a Markdown-compliant source file.
- Presentation of GNN through examples drawn from existing Active Inference tutorials.
- Incorporation of various aspects of language including ontology, morphology, grammar, and pragmatics.

## 🎯 Consulting & Tutoring

**Available for AI Research Consulting and Tutoring.** [Contact Daniel Ari Friedman, PhD](https://danielarifriedman.com/) for collaboration on Active Inference, Bayesian modeling, and computational biology.

## Citation

```bibtex
@article{2023_GNN,
  author = {Daniel A. Friedman},
  title = {{Generalized Notation Notation for Active Inference Models}},
  journal = {Zenodo},
  year = {2023},
  doi = {10.5281/zenodo.7803328},
}
```

## File Inventory

- `AGENTS.md` (1,930 bytes)
- `2023_GNN.pdf` (784,179 bytes)
- `README.md` (1,597 bytes)
- `SKILL.md` (1,833 bytes)