Active inference models often need to choose among several policy streams at once, for example streams tied to different effectors, sensory channels, agents, agents within a group, or planning horizons. Standard discrete active-inference implement..." tags: ["active-inference", "free-energy-principle", "policy-inference", "mean-field", "total-correlation", "information-geometry", "schmidt-rank", "tensor-networks", "sophisticated-inference", "lean-theorem-proving"] domain: "Computational" citation: "Daniel Ari Friedman (2026). *Policy Entanglement in Active Inference: A Coupling-Parameter Deformation Framework for Multi-Stream Policy Posterior Distributions, Machine-Checked and Simulated with a Typed Float Boundary*. Computational." doi: "10.5281/zenodo.20418904" --- # Policy Entanglement in Active Inference: A Coupling-Parameter Deformation Framework for Multi-Stream Policy Posterior Distributions, Machine-Checked and Simulated with a Typed Float Boundary **Daniel Ari Friedman** (2026) ยท Computational ## Context This work addresses topics in **Computational**: active inference, free energy principle, policy inference, mean-field. ## Methods Primary methods and techniques applied in this work: - Software pipeline design - Data-driven analysis ## Key Findings Core contributions and results: -
Active inference models often need to choose among several policy streams at once, for example streams tied to different effectors, sensory channels, agents, agents within a group, or planning hori - Standard discrete active-inference implementations keep this manageable by treating those streams as independent, but that simplification removes the dependencies that make coordinated action possible ## Related Works - [2023_NSFReporting](../2023_NSFReporting/) - [2023_NaturalAIBased](../2023_NaturalAIBased/) - [2025_AuBI](../2025_AuBI/) ## Validation Verification points for this work: - DOI: 10.5281/zenodo.20418904 - PDF SHA-256: ae7cdd62929324101ead3eba8177199141b0089a9baf35558107149331666fde - Pairing confidence: strong - Last checked: 2026-07-01T00:30:08Z ## Prerequisites - Familiarity with active inference, free energy principle, policy inference - 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.20418904` 2. Apply methods listed in the Methods section for related analysis. 3. Validate findings against the original PDF and metadata.