1 What Human Behavior FCA Is · 1.3 Runtime-Level Architecture
1.3 Runtime-Level Architecture
Human Behavior FCA
This page is structured as definition, control variables, causal chain, observable outputs, and boundary, and serves as a canonical definition node in Human Behavior FCA.
Runtime-level architecture means behavior variables remain active across cycles rather than serving a one-shot explanation.
At this layer, FCA tracks how generation, repetition, stabilization, breakdown, and update evolve over time.
State transition of the same node across time windows is the core runtime evidence.
Cross-cycle state retention strength.
Feedback write-in capacity and latency.
Foreground-entry stability.
New-structure generation frequency and switching cost.
Execution-maintenance cycle length.
Observable Output → Foreground Entry → Historical Template Matching and Explanation → New Structure Generation → Execution Maintenance → Feedback Update.
Runtime-level architecture requires the same chain to be traceable across cycles, not only a single output explanation.
Post-feedback chain reallocation determines whether the next cycle repeats legacy routing.
Comparable chain-migration traces appear across cycles under similar input classes.
Stable segments and breakdown segments are continuously markable by time window.
After feedback, the next-cycle foreground-entry weighting shows observable shift.
It is not a static personality description framework.
It is not a one-time diagnostic label.
It is not a generic theory summary.