Meta System
The Meta System is the conceptual top layer of Decision Legitimacy. It defines how every layer participates in one decision lifecycle, how information changes form as it moves through the system, and how validated experience improves later reasoning.
Canonical Lifecycle
Problem Space → Framework → Judgment Authority → Applications → Reports → Services → Cognitive Assets → Feedback Loop → Problem Space
The lifecycle is closed rather than linear. Services and reports do not terminate the process. Their evidence becomes cognitive memory, that memory drives system growth, and the resulting refinements change how the next problem space is discovered and structured.
System Architecture
┌──────────────────────────────── META SYSTEM ────────────────────────────────┐
│ Defines lifecycle, transformation rules, optimization, and feedback │
│ │
│ Problem Space │
│ ↓ │
│ Framework │
│ ↓ │
│ Judgment Authority │
│ ↓ │
│ Applications │
│ ↓ │
│ Reports │
│ ↓ │
│ Services │
│ ↓ │
│ Cognitive Assets ──→ Growth Layer ──→ Feedback Loop │
│ ↑ │ │
│ └──────────────────────────────┼──────────────────────────┐ │
│ ↓ │ │
│ Framework refinement │ │
│ Judgment Authority improvement │ │
│ Problem Space discovery ─────────────────────┘ │
└────────────────────────────────────────────────────────────────────────────┘
The Growth Layer sits above Cognitive Assets and below the Meta System. It interprets accumulated memory as changes to system capability; it is not an additional output stage in the canonical lifecycle.
Transformation Rules
| Stage | What transforms into it | What it produces | How it improves future decisions |
|---|---|---|---|
| Problem Space | Observed conditions, conflicts, uncertainty, and prior feedback | A bounded decision problem and candidate variables | Becomes easier to discover and define as prior patterns accumulate |
| Framework | A bounded problem space | Rules, variables, tests, and legitimacy criteria | Refines reusable reasoning structure |
| Judgment Authority | Framework-defined decision requirements | An explicit authority, delegation, and responsibility structure | Clarifies who may judge and who bears consequences |
| Applications | Framework rules plus authority conditions and real constraints | Executable decision structures with boundaries and validation criteria | Exposes where abstract rules fail under real conditions |
| Reports | Application evidence and observed outcomes | Validated findings, contradictions, and empirical feedback | Corrects framework assumptions and records reliable patterns |
| Services | Validated report findings applied to a live decision context | Delivered interventions, reviews, and additional operational evidence | Tests whether validated structures remain useful in practice |
| Cognitive Assets | Reports, service evidence, reasoning history, failures, and revisions | Recoverable intermediate memory | Preserves evidence used to refine frameworks, problem discovery, and authority |
| Feedback Loop | Cognitive Assets interpreted through the Growth Layer | Upstream modifications to problem discovery, framework rules, and authority models | Raises the system's decision quality over repeated cycles |
What the System Optimizes For
The system optimizes for:
- legitimate decisions rather than maximum output
- explicit authority and responsibility
- early discovery of missing variables and invalid problem definitions
- controlled execution at consequential or irreversible boundaries
- empirical validation rather than unsupported confidence
- reusable reasoning capability across decision cycles
Global Rule: No Layer Is Terminal
Every layer:
- depends on information or constraints produced elsewhere in the system
- improves a later capability or decision state
- modifies an upstream interpretation, rule, or authority condition through feedback
An artifact that cannot affect future judgment is an isolated output, not a functioning system layer.