Stafford Beer's principle: a viable system must be able to model itself. The FRS is that model. A node without FRS is not a simplified Integral — it is a fundamentally different kind of system.
Receives operational signals from all four other systems — COS labor and quality data, ITC credit patterns, OAD ecological flags, CDS decision outcomes. Normalizes signals into a standard format for analysis.
Analyzes incoming signals against expected ranges, stated principles, and prior baselines. Identifies anomalies, trends, and patterns that may indicate systemic problems. Distinguishes noise from signal.
Maintains a model of the node's ecological, labor, and material constraints. Checks current operational data against constraint boundaries. Flags imminent constraint violations before they occur.
Produces structured recommendations — not mandates. Recommendations describe the observed problem, its likely cause, and one or more response options with tradeoffs. Routed to CDS as new issues.
Translates diagnostic outputs into human-readable summaries accessible to all node participants. Community members can see the system's health, understand findings, and participate in deliberation about responses.
Maintains time-series records of all key system metrics. Enables comparison across periods, detection of slow-moving trends, and evaluation of whether past CDS decisions achieved their stated outcomes.
At federation scale, exchanges anonymized diagnostic patterns with other nodes — contributing to a shared understanding of what works, what fails, and what ecological and operational patterns are emerging across the federation.
Walk all 7 FRS modules: signal intake, diagnostic classification, constraint modeling, recommendation routing, democratic sensemaking, institutional memory, and federated learning.
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