# 🧠 An Account of Active Inference Modeling

**Daniel Ari Friedman** (2023) · *Zenodo*

[![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.8415313-blue)](https://doi.org/10.5281/zenodo.8415313)

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## Abstract

> This paper explores the development of generative models in Active Inference, emphasizing the importance of accounting for cognitive systems and phenomena. It argues for a holistic approach to understanding cognition, integrating various cognitive properties and processes through a framework that resembles financial accounting.

## Keywords

`Active Inference` · `generative modeling` · `accounting metaphor` · `Active AccountAnts` · `cognitive modeling` · `epistemic agency` · `model development`

## Key Contributions

- Introduces the concept of generative models as a form of cognitive accounting.
- Proposes a holistic approach to understanding cognition through Active Inference.
- Establishes connections between financial accounting methods and cognitive modeling.
- Advocates for a first-principles scale-free approach to cognitive systems.

## Methods

- Utilizes a four-fold partition to model Internal, External, Sensory, and Active states as a cognitive Tetrahedra.
- Applies category theory approaches to enhance Active Inference modeling.
- Employs analytical stances to account for cognitive properties and processes.
- Integrates artistic and scientific perspectives in the crafting of generative models.

## 🎯 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_AccountActiveInference,
  author = {Daniel Ari Friedman},
  title = {{An Account of Active Inference Modeling}},
  journal = {Zenodo},
  year = {2023},
  doi = {10.5281/zenodo.8415313},
}
```

## File Inventory

- `AGENTS.md` (1,744 bytes)
- `2023_AccountActiveInference.pdf` (55,132 bytes)
- `README.md` (1,394 bytes)
- `SKILL.md` (1,658 bytes)