---
name: "ActiveInferenceOntology"
description: "Expertise in Active Inference principles and their applications across various domains, fostering collaborative learning and community engagement."
tags: ["active inference", "active-inference-ontology", "knowledge-graph", "free-energy-principle", "ontology-development", "sumo"]
---

# An Active Inference Ontology for Decentralized Science

**Daniel A. Friedman, Virginia Bleu Knight** (2022) · Active Inference

## Instructions

Use this skill when working with topics related to **Active Inference Ontology, knowledge graph, Free Energy Principle, ontology development**.

When applying this skill:
1. Design and maintain formal ontologies for scientific domains
1. Map conceptual relationships in Active Inference and the Free Energy Principle
1. Apply knowledge graph construction for scientific literature

## Key Concepts

- **Active Inference Ontology**
- **knowledge graph**
- **Free Energy Principle**
- **ontology development**
- **SUMO**
- **knowledge representation**
- **open science**

## Methods & Techniques

- Utilizes a living document format to continuously update and incorporate contributions from community members.
- Applies principles of information theory and thermodynamics to analyze the interaction of living systems with their environment.
- Engages members through various learning opportunities, including courses and collaborative research initiatives.
- Facilitates community discourse to gather insights and perspectives from a diverse range of contributors.

## Key Findings

- Active Inference serves as a unifying framework that enhances understanding of human behavior and adaptability.
- The Institute's evolving nature reflects the diverse perspectives of its members, driving continuous improvement.
- The framework's applications are broad, impacting fields from computational neuroscience to resource management.
- Community engagement and collaborative efforts are essential for the sustainability and growth of the Active Inference Ecosystem.

## Prerequisites

- Probability theory and Bayesian inference basics
- Free Energy Principle and generative models

## 🎯 Consulting & Tutoring

[Daniel Ari Friedman, PhD](https://danielarifriedman.com/) is available for AI Research Consulting and Tutoring related to this skill.

## Related Skills

See [BIBLIOGRAPHY.md](../../pages/BIBLIOGRAPHY.md) for the complete publication catalog and related papers.