# 🧠 Active Inference in Modeling Conflict

**Scott David, R.J. Cordes, Daniel A. Friedman** (2021) · *Zenodo*

[![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.5759807-blue)](https://doi.org/10.5281/zenodo.5759807)

---
<!-- Schema.org structured data for search engines -->
<!--
{"@context":"https://schema.org","@type":"ScholarlyArticle","headline":"ModelingConflict","abstract":"We integrate conflict studies with Active Inference to create the Active Inference Conflict (AIC) model, situating conflict as a multiscale process of communication, trust, and relationship management enacted by interacting entities. The AIC model captures and extends OODA loops, the generations of warfare model, and the Rumsfeld Matrix. It aids analysis of modern conflict including cyber, psychological, biological, informational, financial, and ideological dimensions using BOLTS (business, oper","keywords":["Active Inference","conflict modeling","AIC model","OODA loops","cognitive security","information warfare","BOLTS framework","trust management"],"author":{"@type":"Person","name":"Daniel Ari Friedman","url":"https://danielarifriedman.com/"}}
-->


## Abstract

> This paper integrates conflict studies with Active Inference, proposing the Active Inference Conflict (AIC) model to analyze modern conflict through a multiscale process of communication, trust, and relationship management. The AIC model extends traditional frameworks, offering insights into various forms of conflict that are not adequately addressed by existing models.

## Keywords

`Active Inference` · `conflict modeling` · `AIC model` · `OODA loops` · `cognitive security` · `information warfare` · `BOLTS framework` · `trust management`

## Key Contributions

- Introduction of the Active Inference Conflict (AIC) model for analyzing modern conflict.
- Extension of traditional conflict models to include non-kinetic forms of conflict.
- Integration of insights from various fields to enhance understanding of complex conflicts.
- Recommendations for future research and social systems design based on qualitative use of the AIC model.

## Methods

- Utilization of Active Inference as a framework for understanding cognition and behavior in conflict.
- Survey of past qualitative and quantitative models of conflict to identify gaps and needs.
- Analysis of the relationship between the AIC model and existing frameworks like OODA and the Rumsfeld Matrix.
- Exploration of multiscale processes in conflict management and relationship dynamics.

## 🎯 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_ModelingConflict,
  author = {Scott David, R.J. Cordes, Daniel A. Friedman},
  title = {{Active Inference in Modeling Conflict}},
  journal = {Zenodo},
  year = {2021},
  doi = {10.5281/zenodo.5759807},
}
```

## File Inventory

- `AGENTS.md` (1,951 bytes)
- `2021_ModelingConflict.pdf` (1,025,494 bytes)
- `README.md` (1,823 bytes)
- `SKILL.md` (1,898 bytes)