Computational · Paper · 2026

Realizing Emptiness: Operational Surrogates for No-Self-Evidence, QRF Opacification, and Bayesian Model Reduction

Daniel Ari Friedman

Zenodo

Catalog Row175
Citation KeyFriedman2026RealizingEmptinessOperationalSurrogates175
Paper FolderAvailable
DOI10.5281/zenodo.20834846
Platform availability

Overview

Extracted from the local paper documentation when available.

This project operationalizes the 2026 preprint "There is no self-evidence: A physics of emptiness realisation" as a source-anchored software artifact. Its central claim is that a finite agent can use a boundary for prediction while never obtaining evidence that the boundary is ontologically real, and the software separates three local artifact roles: formal sanity checks for source equations...

active inferenceBayesian model reductionquantum reference framesemptinessformal methodspymdp

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • This project operationalizes the 2026 preprint "There is no self-evidence: A physics of emptiness realisation" as a source-anchored software artifact.
  • Its central claim is that a finite agent can use a boundary for prediction while never obtaining evidence that the boundary is ontologically real, and the software separates three local artifact roles
Methods / Techniques
  • Software pipeline design
  • Data-driven analysis

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. Realizing Emptiness: Operational Surrogates for No-Self-Evidence, QRF Opacification, and Bayesian Model Reduction. Zenodo. DOI: 10.5281/zenodo.20834846. URL: https://doi.org/10.5281/zenodo.20834846.

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