# 🧠 Active Inference Power Suite: Conditional Statistical Power under Controlled Generative Settings

**Daniel Ari Friedman** (2026) · *Zenodo*

[![DOI](https://img.shields.io/badge/DOI-10.5281%2Fzenodo.21695160-blue)](https://doi.org/10.5281/zenodo.21695160)

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## Abstract

> Statistical power is an investigator-facing operating characteristic of an adaptive-study design. Before simulation, the investigator fixes an agent-side model, evaluator-side process, testing setting, policy, and replication plan. Each embedded agent acts only on visible history; simulated hidden truth is retained for scoring. active_inference_power makes that conditional estimand inspectable...

## Keywords

`multiple testing` · `false discovery rate` · `Benjamini-Hochberg` · `statistical power` · `active inference` · `pymdp` · `sequential hypothesis testing` · `reproducible research`

## Methods

- Free energy minimization
- Generative modeling
- Bayesian inference

## Key Findings

- See full paper for detailed findings and analysis

## Artifacts

- DOI: [10.5281/zenodo.21695160](https://doi.org/10.5281/zenodo.21695160)
- Zenodo record: [https://zenodo.org/records/21695160](https://zenodo.org/records/21695160)
- PDF: [active_inference_power_v1.0.0.pdf](active_inference_power_v1.0.0.pdf)
- PDF SHA-256: [See Zenodo record](https://zenodo.org/records/21695160)

## Citation

> Daniel Ari Friedman (2026). *Active Inference Power Suite: Conditional Statistical Power under Controlled Generative Settings*. Zenodo. DOI: 10.5281/zenodo.21695160. URL: https://doi.org/10.5281/zenodo.21695160.

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