Active Inference · Paper · 2026

A Living Meta-Analysis Architecture for Active Inference: Assertion Extraction, Nanopublications, and Hypothesis Scoring

Daniel Ari Friedman, Joel Dietz

Active Inference Journal

Catalog Row110
Citation KeyFriedman2026LivingMetaAnalysisArchitecture110
Paper FolderAvailable
Platform availability

Overview

Extracted from the local paper documentation when available.

This paper presents a living meta-analysis framework for the Active Inference and Free Energy Principle literature. Literature is retrieved from arXiv, Semantic Scholar, and OpenAlex, deduplicated through a canonical identifier hierarchy, classified into a three-tier taxonomy, and evaluated with LLM-powered nanopublications over eight hypotheses. Citation-weighted evidence scoring supports...

Active Inferencemeta-analysisnanopublicationsassertion extractioncitation-weighted scoringliterature review architectureFree Energy Principlecomputational bibliography

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • Computational living meta-analysis of the Active Inference and Free Energy Principle literature: multi-source retrieval, nanopublication extraction, and hypothesis scoring architecture.
Methods / Techniques
  • Free energy minimization
  • Bayesian modeling and inference

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. A Living Meta-Analysis Architecture for Active Inference: Assertion Extraction, Nanopublications, and Hypothesis Scoring. Active Inference Journal. DOI: 10.5281/zenodo.19461933. URL: https://doi.org/10.5281/zenodo.19461933.

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