# 🛡️ Narrative Information Ecosystems: Conflict and Trust on the Endless Frontier | COGSEC.org

**Daniel A. Friedman, R.J. Cordes, Virginia Bleu Knight** (2021) · *978-1-7364269-2-0*

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## Abstract

> This paper proposes a comprehensive framework for Remote Teams that integrates Active Inference and Systems Engineering to enhance communication and decision-making processes. By defining the roles of Ontologies, Narratives, Formal documents, and Tools (ONFT), the authors aim to improve team efficiency and the phenomenology of the working day.

## Keywords

`narrative ecosystems` · `Active Inference` · `Remote Teams` · `ONFT framework` · `epistemic foraging` · `niche construction` · `collective intelligence` · `systems engineering`

## Key Contributions

- Introduces a framework combining Active Inference with Systems Engineering for Remote Teams.
- Explores the role of communication in enhancing team function and organization.
- Synthesizes previous work on Active Inference with narratives and ontologies.
- Addresses the need for effective communication systems in complex multi-agent environments.

## Methods

- Utilizes the Active Inference framework to analyze communication in Remote Teams.
- Applies Systems Engineering principles to formalize Remote Team processes.
- Investigates the dynamics of narratives and their impact on team coherence.
- Examines the use of digital tools for enhancing team collaboration and decision-making.

## 🎯 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{2021_NarrativeEcosystems,
  author = {Daniel A. Friedman, R.J. Cordes, Virginia Bleu Knight},
  title = {{Narrative Information Ecosystems: Conflict and Trust on the Endless Frontier | COGSEC.org}},
  journal = {978-1-7364269-2-0},
  year = {2021},
}
```

## File Inventory

- `AGENTS.md` (2,074 bytes)
- `2021_NarrativeEcosystems.pdf` (3,810,012 bytes)
- `README.md` (1,703 bytes)
- `SKILL.md` (1,934 bytes)