Perspective Latents As An Architectural Condition For Causal

---
name: perspective-latents-as-an-architectural-condition-for-causal
description: 'Perspective Latents as an Architectural Condition for Causal Emergence in Active Inference Agents'
metadata:
  {
    "arxiv_id": "2607.20708",
    "utility": 0.87,
    "date_added": "2026-07-26"
  }
---

# Perspective Latents as an Architectural Condition for Causal Emergence in Active Inference Agents

arXiv: 2607.20708  
Published: 2026-07-22  
Utility: 0.87

## Summary
A recent line of work measures causal emergence in reinforcement learning agents through Integrated Information Decomposition, reporting that $Φ_r$ grows with training and tracks reward improvement. For active inference, this raises the question of how reward-free predictive organization relates to such information-theoretic signatures. I test this within an active inference agent whose architecture separates a fast perception latent $z$ from a slow global latent $g$, where $g$ is driven by prediction error and structurally decoupled from policy gradients. In a reward-free environmental regime-switching protocol, $Φ_r$ concentrates in $g$; its aggregate magnitude is largely architectural and decreases with training. The substantive effect of learning becomes legible only at the atom-compositional level: decoupling flips sign from negative to positive and becomes regime-invariant under environmental change, while downward causation carries the regime-dependent adjustment. These results identify $g$ as the architectural locus of $Φ_r$-relevant temporal organization in an active inference agent, and argue against reading scalar $Φ_r$ as a direct index of learned integration....

## Key Information
- **Title**: Perspective Latents as an Architectural Condition for Causal Emergence in Active Inference Agents
- **Authors**: [Extract from entry]
- **Primary Category**: q-bio.NC

## Potential Skill Application
This paper presents research relevant to AI agent systems. Consider extracting methodologies, algorithms, or frameworks for skill development.

## Reference
- arXiv: https://arxiv.org/abs/2607.20708