---
name: "A Natural AI Based on The Science of Computational Physics, Biology and Neuroscience: Policy and Societal Significance"
description: "Letter on: "A Natural AI Based on The Science of Computational Physics, Biology and Neuroscience: Policy and Societal Significance".  v1 released on December 12, 2023. "
tags: ["active-inference", "ai", "natural", "policy"]
domain: "Computational"
citation: "John Clippinger, Bert de Vries, Beth Noveck, Chris Fields, Cory Slater, Daniel Ari Friedman, and 18 others (2023). *A Natural AI Based on The Science of Computational Physics, Biology and Neuroscience: Policy and Societal Significance*. Computational."
doi: "10.5281/zenodo.10360148"
---

# A Natural AI Based on The Science of Computational Physics, Biology and Neuroscience: Policy and Societal Significance

**John Clippinger, Bert de Vries, Beth Noveck, Chris Fields, Cory Slater, Daniel Ari Friedman, and 18 others** (2023) · Computational

## Context

This work addresses topics in **Computational**: Active Inference, AI, Natural, Policy.

## Methods

Primary methods and techniques applied in this work:

- Software pipeline design
- Data-driven analysis

## Key Findings

Core contributions and results:

- Letter on: "A Natural AI Based on The Science of Computational Physics, Biology and Neuroscience: Policy and Societal Significance".  v1 released on December 12, 2023. 

## Related Works

- [2023_NSFReporting](../2023_NSFReporting/)
- [2025_AuBI](../2025_AuBI/)
- [2025_DiscoveryEngine](../2025_DiscoveryEngine/)

## Validation

Verification points for this work:

- DOI: 10.5281/zenodo.10360148
- PDF SHA-256: See zenodo_record
- Pairing confidence: unknown
- Last checked: 2026-05-30T18:56:15Z

## Prerequisites

- Familiarity with Active Inference, AI, Natural
- Background in Computational fundamentals
- Access to source repository: N/A

## Instructions

When working with this paper:

1. Reference the DOI for citation: `10.5281/zenodo.10360148`
2. Apply methods listed in the Methods section for related analysis.
3. Validate findings against the original PDF and metadata.