2 Behavior Generation Chain · 2.3 Historical Template Matching
2.3 Historical Template Matching
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.
DMN is the historical template matching and explanation system that interprets current input through stored templates.
This stage maintains continuity of self, relationship, and context, and does not generate genuinely new structures.
When new input is quickly forced into old templates, the system can look stable while hidden breakpoints accumulate.
SN foreground-entry strength determines which inputs enter DMN interpretation.
Template matching precision and template rigidity jointly shape flexibility versus lock-in.
FP occupancy determines whether the system can move from interpretation to new-structure generation.
ECN maintenance load feeds back into interpretation bias.
Feedback update quality determines whether old templates are revised.
Observable Output → Foreground Entry → Historical Template Matching and Explanation → New Structure Generation → Execution Maintenance → Feedback Update.
When foreground entry favors threat input, historical template matching preferentially activates defensive old templates.
When historical template matching fails to cover reality change, new-structure generation must take over or repetition loops persist.
If feedback update is absorbed by old templates, the next round of historical template matching shifts in the same direction.
Interpretation language repeats across similar situations with minimal behavioral change.
Old conclusions appear first when new information arrives, followed by selective evidence search.
Post-conflict behavior returns to previous narratives, giving short-term stability and long-term friction.
Reality feedback exists but interpretation remains unchanged, and loops recur.
Historical template matching is not a personality labeling system.
This stage is not equivalent to the FP new-structure generation function.
The public layer describes observable behavior chains only, not admin-internal modeling details.