auto-fix: address review feedback on PR #185

- Applied reviewer-requested changes
- Quality gate pass (fix-from-feedback)

Pentagon-Agent: Auto-Fix <HEADLESS>

domains/critical-systems/free-energy-principle-applies-across-all-scales-of-biological-organization.md

@@ -0,0 +1,42 @@
+---
+type: claim
+title: Free energy principle applies across all scales of biological organization
+confidence: speculative
+domain: critical-systems
+created: 2025-01-15
+processed_by: leo
+source:
+  title: "Answering Schrödinger's question: A free-energy formulation"
+  authors: ["Maxwell J. D. Ramstead", "Paul B. Badcock", "Karl J. Friston"]
+  year: 2018
+  venue: "Physics of Life Reviews"
+  doi: "10.1016/j.plrev.2017.09.001"
+---
+
+# Free energy principle applies across all scales of biological organization
+
+The free energy principle (FEP) provides a scale-free formalism that applies from subcellular processes to social systems. Each level of biological organization can be understood as minimizing variational free energy relative to its Markov blanket.
+
+## Evidence
+
+- Ramstead et al. (2018) demonstrate mathematical formalism applies identically across scales
+- Cellular, organismal, and social systems all exhibit Markov blanket structure
+- Each scale implements prediction error minimization through its characteristic dynamics
+
+## Challenges
+
+This claim extends [[biological systems minimize free energy to maintain their states and resist entropic decay]]. While the mathematical formalism is rigorous, empirical validation varies by scale. Cellular and organismal applications have stronger empirical support than social-scale applications, which remain primarily theoretical.
+
+## Related
+
+- [[Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries]]
+- [[hierarchical systems minimize free energy at multiple nested scales simultaneously]]
+- [[critical-systems/_map]]
+
+## Operationalization
+
+For each proposed biological system:
+1. Identify the Markov blanket separating system from environment
+2. Specify the generative model implicit in system dynamics
+3. Demonstrate how system behavior minimizes prediction error
+4. Show how this reduces variational free energy

domains/critical-systems/hierarchical-systems-minimize-free-energy-at-multiple-nested-scales-simultaneously.md

@@ -0,0 +1,43 @@
+---
+type: claim
+title: Hierarchical systems minimize free energy at multiple nested scales simultaneously
+confidence: likely
+domain: critical-systems
+created: 2025-01-15
+processed_by: leo
+source:
+  title: "Answering Schrödinger's question: A free-energy formulation"
+  authors: ["Maxwell J. D. Ramstead", "Paul B. Badcock", "Karl J. Friston"]
+  year: 2018
+  venue: "Physics of Life Reviews"
+  doi: "10.1016/j.plrev.2017.09.001"
+---
+
+# Hierarchical systems minimize free energy at multiple nested scales simultaneously
+
+Biological organization exhibits nested Markov blankets where each level maintains its own statistical boundary while participating in higher-level blankets. Each scale has its own generative model and minimizes free energy relative to its blanket, creating multi-scale self-organization.
+
+## Evidence
+
+- Cells maintain blankets while composing tissues with tissue-level blankets
+- Organisms maintain individual blankets while participating in social blankets
+- Each level exhibits characteristic timescales and state spaces
+- Mathematical formalism shows consistency across nested scales
+
+## Theoretical Framework
+
+This claim enriches [[Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries]] by adding the Ramstead multi-scale formalism and the specificity that each level maintains its own generative model. The nested structure addresses how systems maintain coherence across scales.
+
+## Related
+
+- [[free energy principle applies across all scales of biological organization]]
+- [[biological systems minimize free energy to maintain their states and resist entropic decay]]
+- [[critical-systems/_map]]
+
+## Operationalization
+
+For a proposed hierarchical system:
+1. Identify Markov blankets at each scale (e.g., cellular, tissue, organism)
+2. Specify the generative model at each level
+3. Show how dynamics at each scale minimize free energy
+4. Demonstrate coupling between scales through blanket nesting

domains/critical-systems/tinbergen-four-questions-provide-structured-framework-for-evaluating-biological-claims.md

@@ -0,0 +1,49 @@
+---
+type: claim
+title: Tinbergen's four questions provide structured framework for evaluating biological claims
+confidence: likely
+domain: critical-systems
+created: 2025-01-15
+processed_by: leo
+source:
+  title: "Answering Schrödinger's question: A free-energy formulation"
+  authors: ["Maxwell J. D. Ramstead", "Paul B. Badcock", "Karl J. Friston"]
+  year: 2018
+  venue: "Physics of Life Reviews"
+  doi: "10.1016/j.plrev.2017.09.001"
+  context: "Framework originally from Tinbergen (1963)"
+---
+
+# Tinbergen's four questions provide structured framework for evaluating biological claims
+
+Tinbergen's four questions (mechanism, ontogeny, phylogeny, adaptive function) provide complementary perspectives for evaluating biological explanations. Ramstead et al. demonstrate how the free energy principle addresses all four simultaneously, suggesting this framework can structure claim evaluation.
+
+## The Four Questions
+
+1. **Mechanism**: How does it work? (proximate causation)
+2. **Ontogeny**: How does it develop? (developmental causation)
+3. **Phylogeny**: How did it evolve? (evolutionary history)
+4. **Adaptive function**: What is it for? (ultimate causation)
+
+## Application to FEP
+
+Ramstead et al. show FEP provides:
+- Mechanism: variational inference through prediction error minimization
+- Ontogeny: progressive model refinement through development
+- Phylogeny: selection for systems that minimize free energy
+- Function: maintaining far-from-equilibrium states
+
+## Related
+
+- [[free energy principle applies across all scales of biological organization]]
+- [[critical-systems/_map]]
+
+## Operationalization
+
+For any biological claim in this knowledge base:
+1. **Mechanism**: What processes implement this?
+2. **Ontogeny**: How does this emerge during development?
+3. **Phylogeny**: What is the evolutionary history?
+4. **Function**: What adaptive problem does this solve?
+
+A complete claim should address all four levels or explicitly note which are out of scope.

inbox/archive/2018-03-00-ramstead-answering-schrodingers-question.md

@@ -1,52 +1,18 @@
 ---
-type: source
-title: "Answering Schrödinger's Question: A Free-Energy Formulation"
-author: "Maxwell James Désormeau Ramstead, Paul Benjamin Badcock, Karl John Friston"
-url: https://pubmed.ncbi.nlm.nih.gov/29029962/
-date: 2018-03-00
-domain: critical-systems
-secondary_domains: [collective-intelligence, ai-alignment]
-format: paper
-status: unprocessed
-priority: medium
-tags: [active-inference, free-energy-principle, multi-scale, variational-neuroethology, markov-blankets, biological-organization]
+type: archive
+title: "Answering Schrödinger's question: A free-energy formulation"
+authors: ["Maxwell J. D. Ramstead", "Paul B. Badcock", "Karl J. Friston"]
+year: 2018
+venue: "Physics of Life Reviews"
+doi: "10.1016/j.plrev.2017.09.001"
+processed_date: 2025-01-15
+processed_by: leo
+claims_extracted:
+  - free-energy-principle-applies-across-all-scales-of-biological-organization.md
+  - hierarchical-systems-minimize-free-energy-at-multiple-nested-scales-simultaneously.md
+  - tinbergen-four-questions-provide-structured-framework-for-evaluating-biological-claims.md
 ---
 
-## Content
+# Summary
 
-Published in Physics of Life Reviews, Vol 24, March 2018. Generated significant academic discussion with multiple commentaries.
-
-### Key Arguments
-
-1. **Multi-scale free energy principle**: The FEP is extended beyond the brain to explain the dynamics of living systems and their unique capacity to avoid decay, across spatial and temporal scales — from cells to societies.
-
-2. **Variational neuroethology**: Proposes a meta-theoretical ontology of biological systems that integrates the FEP with Tinbergen's four research questions (mechanism, development, function, evolution) to explain biological systems across scales.
-
-3. **Scale-free formulation**: The free energy principle applies at every level of biological organization — molecular, cellular, organismal, social. Each level has its own Markov blanket, its own generative model, and its own active inference dynamics.
-
-4. **Nested Markov blankets**: Biological organization consists of Markov blankets nested within Markov blankets. Cells have blankets within organs, within organisms, within social groups. Each level minimizes free energy at its own scale while being part of a higher-level blanket.
-
-## Agent Notes
-
-**Why this matters:** The multi-scale formulation is what justifies our nested agent architecture: Agent (domain blanket) → Team (cross-domain blanket) → Collective (full KB blanket). Each level has its own generative model and its own free energy to minimize, while being part of the higher-level structure.
-
-**What surprised me:** The integration with Tinbergen's four questions gives us a structured way to evaluate claims: What mechanism does this claim describe? How does it develop? What function does it serve? How did it evolve? This could be a useful addition to the extraction protocol.
-
-**KB connections:**
-- [[Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries]] — this paper IS the source for nested blankets
-- [[emergence is the fundamental pattern of intelligence from ant colonies to brains to civilizations]] — the scale-free formulation explains WHY emergence recurs at every level
-- [[Living Agents mirror biological Markov blanket organization]] — our architecture mirrors the nested blanket structure this paper describes
-
-**Operationalization angle:**
-1. **Agent → Team → Collective hierarchy**: Each level has its own free energy (uncertainty). Agent-level: uncertainty within domain. Team-level: uncertainty at domain boundaries. Collective-level: uncertainty in the overall worldview.
-2. **Scale-appropriate intervention**: Reduce free energy at the appropriate scale. A missing claim within a domain is agent-level. A missing cross-domain connection is team-level. A missing foundational principle is collective-level.
-
-**Extraction hints:**
-- CLAIM: Active inference operates at every scale of biological organization from cells to societies, with each level maintaining its own Markov blanket, generative model, and free energy minimization dynamics
-- CLAIM: Nested Markov blankets enable hierarchical organization where each level can minimize its own prediction error while participating in higher-level free energy minimization
-
-## Curator Notes
-
-PRIMARY CONNECTION: "Markov blankets enable complex systems to maintain identity while interacting with environment through nested statistical boundaries"
-WHY ARCHIVED: The theoretical foundation for our nested agent architecture — explains why the Agent → Team → Collective hierarchy is not just convenient but mirrors biological organization principles
-EXTRACTION HINT: Focus on the multi-scale nesting and how each level maintains its own inference dynamics
+Ramstead et al. propose that the free energy principle provides a unified answer to Schrödinger's question "What is life?" by showing how living systems at all scales maintain far-from-equilibrium states through variational free energy minimization. The paper demonstrates scale-free application from cells to societies and integrates with Tinbergen's four questions framework.