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

Catalog Row135

Citation KeyFriedman2023NaturalAIBasedScience135

Paper FolderAvailable

Platform availability

✅ Zenodo
⬜ GitHub
⬜ arXiv
⬜ OSF
⬜ HuggingFace
⬜ Software Heritage
⬜ PyPI
✅ Full documentation

Overview

Extracted from the local paper documentation when available.

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.

Active InferenceAINaturalPolicy

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

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.

Methods / Techniques

Software pipeline design
Data-driven analysis

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2023. A Natural AI Based on The Science of Computational Physics, Biology and Neuroscience: Policy and Societal Significance. Zenodo. DOI: 10.5281/zenodo.10360056. URL: https://doi.org/10.5281/zenodo.10360056.

Primary source Documentation Full Text BibTeX

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